<p>At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.</p><p>The exceptional EY experience. It's yours to build.</p><p>EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.</p><h3>AI/Machine Learning Engineer, Manager Consultant</h3><h3>The opportunity</h3><p>Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.</p><h3>Your key responsibilities</h3><p>You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.</p><p>You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.</p><h3>Skills and attributes for success</h3><p>This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.</p><h3>To qualify for the role you must have</h3><ol><li>Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning</li><li>2-4 years of experience directly managing technical teams</li><li>Strong skills in Python.</li><li>Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).</li><li>Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.</li><li>Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.</li><li>A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.</li><li>Experience with MLOps methods and platforms such as MLFlow.</li><li>Experience with CI/CD and test-driven development.</li><li>Experience designing, building, and maintaining ML models, frameworks, and pipelines.</li><li>Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.</li><li>Understanding of data structures, data modelling and software engineering best practices.</li><li>Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.</li><li>Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.</li><li>Experience with containerization and scaling models.</li><li>Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.</li><li>Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.</li><li>Willingness to travel to meet client obligations.</li></ol><h3>Ideally, you'll also have</h3><ol><li>A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.</li><li>Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.</li><li>Experience working with diverse teams to deliver complex solutions.</li><li>Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.</li><li>Experience fine-tuning Generative AI models.</li></ol><h3>What we look for</h3><ol><li>You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.</li><li>You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.</li><li>You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.</li></ol><h3>What we offer</h3><p>We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.</p><p>EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.</p><p>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.</p><p>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.</p><p>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.</p><p>For those living in California, please click here for additional information.</p><p>EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.</p><p>EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com</p>
#J-18808-Ljbffr

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

​ AI/Machine Learning Engineer, Senior Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Your key responsibilities

You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Skills and attributes for success

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

To qualify for the role you must have

Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning

Strong skills in Python.

Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

Experience with MLOps methods and platforms such as MLFlow.

Experience with CI/CD and test-driven development.

Experience designing, building, and maintaining ML models, frameworks, and pipelines.

Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

Understanding of data structures, data modelling and software engineering best practices.

Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

Experience with containerization and scaling models.

Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

Willingness to travel to meet client obligations.

Ideally, you'll also have

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

Experience working with diverse teams to deliver complex solutions.

Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

Experience fine-tuning Generative AI models.

What we look for

You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.

You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.

You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.FY25NATAID

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

<p>If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career. </p><p>Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. </p><h3><b>Job Summary: </b> </h3><p>Western Governors University is hiring a <b>Principal Machine Learning Engineer </b> to join our team onsite in <b>Salt Lake City, Utah. </b> </p><p>The Principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. You serve as a technical leader on the most demanding, cross-functional projects and lead the team to build AI/ML products, particularly NLP and LLM, and execute large NLP/LLM models on a cloud environment at scale. As a principal member of the team, you work on our hardest problems and make the toughest decisions. You have strong technical judgment and influential skills to advocate good ML practices, challenge the current state, propose innovative ideas, and drive business-critical discussions. You can provide architectural guidance and detailed technical direction while fostering a continuous delivery culture. The perfect candidate should be able to educate stakeholders and mentor team members and, with a strong vision for how the ML discipline can proactively create positive impacts, have a significant stake in defining the future of the Ed Tech function for WGU. </p><h3><b>Essential Functions and Responsibilities: </b> </h3><ul><li>Work closely with the managers to define NLP initiatives, roadmaps, and strategies. </li><li>Collaborate with business stakeholders and product team to understand and convert business requirements into requisite NLP capabilities. </li><li>Lead the architecture, design, and development of complex AI systems. </li><li>Possess expert knowledge in our ML solutions and systems and ensure scalability, performance, and maintainability. </li><li>Drive best ML development and validation practices, code reviews, and documentation. </li><li>Execute the entire ML development lifecycle, including model research, data processing, model training and fine-tuning, model experimenting and evaluation, model improvement, and model deployment. </li><li>Research, Develop, deploy, and optimize state-of-the-art GenAI/NLP/LLM/Agent models for diverse NLP applications. </li><li>Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. </li><li>Collaborate with the MLOps team to deploy ML/LLM models to the production environment, ensuring scalability, reliability, and performance. </li><li>Collaborate with the Software, Infrastructure, and Security teams to integrate ML solutions seamlessly into the WGU ecosystem. </li><li>Stay current with AI Agent, LLM, NLP, and Deep Learning technologies, and proactively apply them to our use cases to drive WGU innovation. </li><li>Provide technical leadership and mentorship to a team of ML engineers. Assist in their career development and help managers guide the career growth of their team members. </li> </ul><h3><b>Knowledge, Skill and Abilities: </b> </h3><ul><li>Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc. </li><li>Experience operating high-availability, fault-tolerant, scalable, distributed software/infrastructure in production utilizing GitOps practices (Terraform preferred). </li><li>Experience with DevOps/MLOps frameworks (Databricks, GitHub Actions, MLFlow, Seldon, Sagemaker, DVC, etc.). </li><li>Experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging Face, etc. </li><li>Strong background in Python programming. </li><li>Substantial experience operating big data infrastructure in a cloud-based ecosystem (AWS, Databricks, Azure, GCP, etc.). </li><li>Experience with stream-processing systems (ksqlDB, Spark Streaming, Kafka, Apache Beam/Flink, etc.). </li><li>Experience with software engineering standard methodologies (unit testing, load testing, code reviews, design documents, continuous delivery). </li><li>Experience building data ETL pipelines. </li><li>Develop and deploy production-grade services, SDKs, and data infrastructure emphasizing performance, scalability, and self-service. </li><li>Ability to conceptualize and articulate ideas clearly and concisely. </li><li>Entrepreneurial or intrapreneurial experience leading the creation of a new product & organization. </li> </ul><h3><b>Job Qualifications: </b> </h3><ul><li>M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics, or any related field. </li><li>Prior experience in a senior or lead engineering role. ML domain is preferred. </li><li>10+ years of industry experience in Software Development within a cloud environment. </li><li>8+ years of industry experience building large-scale Machine Learning or Deep Learning models, carrying out the entire ML development lifecycle from POC to production release. </li> </ul><p>To explore more about our company and what makes working here special, visit our website at <a >WGU About Us </a>. To view current career opportunities and apply, please visit <a >WGU Careers </a>. </p><p><b>Pay Range: </b> $197,000.00 - $305,300.00 </p><p><b>How to apply: </b> apply online </p><p><b>Full-time Regular Positions<i>(FT classification, standard working hours = 40) </i> </b> </p><p>This is a full-time, regular position that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. </p><p>The University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. </p>#J-18808-Ljbffr

<p>At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. </p><p>The exceptional EY experience. It's yours to build. </p><p>EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. </p><h3>AI/Machine Learning Engineer, Manager Consultant </h3><h3>The opportunity </h3><p>Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. </p><h3>Your key responsibilities </h3><p>You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. </p><p>You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. </p><h3>Skills and attributes for success </h3><p>This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. </p><h3>To qualify for the role you must have </h3><ol><li>Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning </li><li>2-4 years of experience directly managing technical teams </li><li>Strong skills in Python. </li><li>Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG). </li><li>Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries. </li><li>Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. </li><li>A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. </li><li>Experience with MLOps methods and platforms such as MLFlow. </li><li>Experience with CI/CD and test-driven development. </li><li>Experience designing, building, and maintaining ML models, frameworks, and pipelines. </li><li>Experience designing and deploying end to end ML workflows on at least one major cloud computing platform. </li><li>Understanding of data structures, data modelling and software engineering best practices. </li><li>Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. </li><li>Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. </li><li>Experience with containerization and scaling models. </li><li>Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications. </li><li>Strong mathematical and quantitative skills including calculus, linear algebra, and statistics. </li><li>Willingness to travel to meet client obligations. </li> </ol><h3>Ideally, you'll also have </h3><ol><li>A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. </li><li>Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. </li><li>Experience working with diverse teams to deliver complex solutions. </li><li>Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. </li><li>Experience fine-tuning Generative AI models. </li> </ol><h3>What we look for </h3><ol><li>You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. </li><li>You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. </li><li>You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. </li> </ol><h3>What we offer </h3><p>We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. </p><p>EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. </p><p>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. </p><p>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. </p><p>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. </p><p>For those living in California, please click here for additional information. </p><p>EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. </p><p>EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at   </p>#J-18808-Ljbffr

Job Description

The Role

The Staff ML Engineer will be responsible for driving the vision, and execution of LiftIQ (Marketing Experimentation and Optimization Platform). This individual will be a technical leader and has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for measurement, optimization and personalization leveraging 1P/3P data sources. This person will collaborate with cross functional teams, including engineering, data science and UX/UI Design, to build and refine the platform that enable experimentation, measurement and optimization.

This person will work closely with stakeholders in GM’s vehicle brands, subscriptions, and customer care product, as well as the Performance Driven Marketing team to ensure business acceptance of models, metrics, visualization of experiment performance and optimization. They will be responsible for developing platforms, tools, and democratized capabilities that allow stakeholders and data scientists to identify marketing initiatives with high return on investment. Our team is focused on delivering future-focused, consumer-centric, personalized solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.

What You’ll Do

Work closely with the Data Scientists, Engineers and Product Owners to build a system that will help our marketing stakeholders optimize ROI.

Design and engineer efficient and resilient ML platforms and software products that run at scale.

Participate in design, architecture and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges. Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team.

Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.

Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, as well loyalty and subscription space, to drive incremental value.

Drive a strategic roadmap with executable outcomes to provide business value and impact.

Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, insights, and solutions.

Possess knowledge of how to map data skills, techniques, and tools to problems.

Lead and developing a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly.

Ensure an elevated level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.

Additional Job Description

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience.

5-8+ years of experience in full stack software development, machine learning, data science, or quantitative insights, and with data structures/algorithms.

Strong programming skills in Python, Spark are necessary for implementing machine learning algorithms, data pipelines, and model development.

Proficiency in full stack software development using react, custom visualization using d3.

Expertise in Machine Learning Algorithms and Techniques: Comprehensive understanding of diverse machine learning algorithms, spanning supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques.

2+ years of experience successfully leading technical teams or work.

Previous experience and examples building customer platforms and exhibiting platform and data governance.

Understanding of the principles of causality and/or modeling of incrementality.

Understanding of the basic principles of experimental design and analysis.

Familiarity with models of customer lifetime value, retention, and churn.

Prior experience managing and influencing stakeholders, analysts, architects, engineers, and other product owners building a similar capability.

Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.

Strong drive for results and intellectual curiosity; must be a self-starter.

Ability to train, mentor, and evaluate the technical capabilities of others.

Prior experience evaluating and/or hiring high-performing talent.

Strong project management skills with demonstrated success.

Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.

Excellent team player with strong interpersonal skills and highly collaborative work style.

Excellent oral, listening, presentation, and written communication skills.

This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is $157,800 and $241,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-CC1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;

• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;

• Company and matching contributions to 401K savings plan to help you save for retirement;

• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;

• Tuition assistance and student loan refinancing;

• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.​

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global location s

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

<p><strong>Company Description</strong></p><p>Experian  is the world's leading global information services company. During  life's big moments – from buying a home or a car, to sending a child to  college, to growing a business by connecting with new customers – we  empower consumers and our clients to manage their data with confidence.  We help individuals to take financial control and access financial  services, businesses to make smarter decisions and thrive, lenders to  lend more responsibly, and organizations to prevent identity fraud and  crime.</p><p>We're focused on powering opportunities; that's why our  Experian Summer Internship Program offers students nationwide a chance  to gain hands-on work experience by applying their formal education to  solve meaningful projects. During the Summer Internship Program, you  will be immersed in Experian's 'People First' philosophy, experiencing  our commitment to developing its people.</p><p>Join us and explore your potential in one of the Top 100 Summer Internship Programs!</p><p><strong>Job Description</strong></p><p>The  Machine Learning Engineer Intern will work under the Sr. Manager of  Data Science Product Enablement/Adaption. You will support GenAI  projects, including developing AI use cases.</p><p><strong>Responsibilities:</strong></p><ul><li>Develop tools for operational efficiency and monitoring</li><li>Improve automation and test coverage</li><li>Analyze cost efficiency for infrastructure</li><li>Augment project modules</li></ul><p><strong>Qualifications</strong></p><ul><li>Currently enrolled in a Bachelor's degree program or above in math, CS, or related field</li><li>Returning to school in Fall 2025 to complete degree</li><li>GenAI experience preferred, experience in programming languages such as Java, Python, C++</li></ul><p><strong>Perks:</strong></p><ul><li>Fully remote</li><li>Volunteer Time Off</li><li>Great compensation</li><li>Flexible work schedule</li><li>Eligible for 401(k) participation in 90 days</li></ul><p><strong>Additional Information</strong></p><p>Our  uniqueness is that we celebrate yours. Experian's culture and people  are important differentiators. We take our people agenda very seriously  and focus on what matters; DEI, work/life balance, development,  authenticity, engagement, collaboration, wellness, reward &  recognition, volunteering... the list goes on. Experian's people first  approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE  Best Companies to work and Glassdoor Best Places to Work (globally 4.4  Stars) to name a few. Check out Experian Life on social or our Careers  Site to understand why.</p><p>Experian is proud to be an Equal  Opportunity and Affirmative Action employer. Innovation is an important  part of Experian's DNA and practices, and our diverse workforce drives  our success. Everyone can succeed at Experian and bring their whole self  to work, irrespective of their gender, ethnicity, religion, colour,  sexuality, physical ability or age. If you have a disability or special  need that requires accommodation, please let us know at the earliest  opportunity.</p>

Job Description The Role The Staff ML Engineer will be responsible for driving the vision, and execution of LiftIQ (Marketing Experimentation and Optimization Platform). This individual will be a technical leader and has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for measurement, optimization and personalization leveraging 1P/3P data sources. This person will collaborate with cross functional teams, including engineering, data science and UX/UI Design, to build and refine the platform that enable experimentation, measurement and optimization. This person will work closely with stakeholders in GM’s vehicle brands, subscriptions, and customer care product, as well as the Performance Driven Marketing team to ensure business acceptance of models, metrics, visualization of experiment performance and optimization. They will be responsible for developing platforms, tools, and democratized capabilities that allow stakeholders and data scientists to identify marketing initiatives with high return on investment. Our team is focused on delivering future-focused, consumer-centric, personalized solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. What You’ll Do Work closely with the Data Scientists, Engineers and Product Owners to build a system that will help our marketing stakeholders optimize ROI. Design and engineer efficient and resilient ML platforms and software products that run at scale. Participate in design, architecture and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges. Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team. Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring. Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, as well loyalty and subscription space, to drive incremental value. Drive a strategic roadmap with executable outcomes to provide business value and impact. Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, insights, and solutions. Possess knowledge of how to map data skills, techniques, and tools to problems. Lead and developing a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly. Ensure an elevated level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. Additional Job Description Your Skills & Abilities (Required Qualifications) Bachelor’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience. 5-8 years of experience in full stack software development, machine learning, data science, or quantitative insights, and with data structures/algorithms. Strong programming skills in Python, Spark are necessary for implementing machine learning algorithms, data pipelines, and model development. Proficiency in full stack software development using react, custom visualization using d3. Expertise in Machine Learning Algorithms and Techniques: Comprehensive understanding of diverse machine learning algorithms, spanning supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques. 2 years of experience successfully leading technical teams or work. Previous experience and examples building customer platforms and exhibiting platform and data governance. Understanding of the principles of causality and/or modeling of incrementality. Understanding of the basic principles of experimental design and analysis. Familiarity with models of customer lifetime value, retention, and churn. Prior experience managing and influencing stakeholders, analysts, architects, engineers, and other product owners building a similar capability. Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics. Strong drive for results and intellectual curiosity; must be a self-starter. Ability to train, mentor, and evaluate the technical capabilities of others. Prior experience evaluating and/or hiring high-performing talent. Strong project management skills with demonstrated success. Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. Excellent team player with strong interpersonal skills and highly collaborative work style. Excellent oral, listening, presentation, and written communication skills. This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $157,800 and $241,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; • Company and matching contributions to 401K savings plan to help you save for retirement; • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing; • Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.AccommodationsGM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.​ We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.AccommodationsGM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

<p> <br>If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career. </p><p>Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. </p><p><b>Job Summary:</b> </p><p>Western Governors University is hiring a <b>Principal Machine Learning Engineer </b>to join our team <b>onsite </b>in <b>Salt Lake City, Utah. </b> </p><p>The Principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. You serve as a technical leader on the most demanding, cross-functional projects and lead the team to build AI/ML products, particularly NLP and LLM, and execute large NLP/LLM models on a cloud environment at scale. As a principal member of the team, you work on our hardest problems and make the toughest decisions. You have strong technical judgment and influential skills to advocate good ML practices, challenge the current state, propose innovative ideas, and drive business-critical discussions. You can provide architectural guidance and detailed technical direction while fostering a continuous delivery culture. The perfect candidate should be able to educate stakeholders and mentor team members and, with a strong vision for how the ML discipline can proactively create positive impacts, have a significant stake in defining the future of the Ed Tech function for WGU. </p><p><b>Essential Functions and Responsibilities: </b> </p><ul> <li>Work closely with the managers to define NLP initiatives, roadmaps, and strategies. </li><li>Collaborate with business stakeholders and product team to understand and convert business requirements into requisite NLP capabilities. </li><li>Lead the architecture, design, and development of complex AI systems. </li><li>Possess expert knowledge in our ML solutions and systems and ensure scalability, performance, and maintainability. </li><li>Drive best ML development and validation practices, code reviews, and documentation. </li><li>Execute the entire ML development lifecycle, including model research, data processing, model training and fine-tuning, model experimenting and evaluation, model improvement, and model deployment. </li><li>Research, Develop, deploy, and optimize state-of-the-art GenAI/NLP/LLM/Agent models for diverse NLP applications. </li><li>Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. </li><li>Collaborate with the MLOps team to deploy ML/LLM models to the production environment, ensuring scalability, reliability, and performance. </li><li>Collaborate with the Software, Infrastructure, and Security teams to integrate ML solutions seamlessly into the WGU ecosystem. </li><li>Stay current with AI Agent, LLM, NLP, and Deep Learning technologies, and proactively apply them to our use cases to drive WGU innovation. </li><li>Provide technical leadership and mentorship to a team of ML engineers. Assist in their career development and help managers guide the career growth of their team members. </li></ul> <p><b>Knowledge, Skill and Abilities:</b> </p><ul> <li>Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc. </li><li>Experience operating high-availability, fault-tolerant, scalable, distributed software/infrastructure in production utilizing GitOps practices (Terraform preferred). </li><li>Experience with DevOps/MLOps frameworks (Databricks, GitHub Actions, MLFlow, Seldon, Sagemaker, DVC, etc.). </li><li>Experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging Face, etc. </li><li>Strong background in Python programming. </li><li>Substantial experience operating big data infrastructure in a cloud-based ecosystem (AWS, Databricks, Azure, GCP, etc.). </li><li>Experience with stream-processing systems (ksqlDB, Spark Streaming, Kafka, Apache Beam/Flink, etc.). </li><li>Experience with software engineering standard methodologies (unit testing, load testing, code reviews, design documents, continuous delivery). </li><li>Experience building data ETL pipelines. </li><li>Develop and deploy production-grade services, SDKs, and data infrastructure emphasizing performance, scalability, and self-service. </li><li>Ability to conceptualize and articulate ideas clearly and concisely. </li><li>Entrepreneurial or intrapreneurial experience leading the creation of a new product & organization. </li></ul> <p><b>Job Qualifications:</b> </p><ul> <li>M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics, or any related field. </li><li>Prior experience in a senior or lead engineering role. ML domain is preferred. </li><li>10+ years of industry experience in Software Development within a cloud environment. </li><li>8+ years of industry experience building large-scale Machine Learning or Deep Learning models, carrying out the entire ML development lifecycle from POC to production release. </li></ul> <p>To explore more about our company and what makes working here special, visit our website at https://www.wgu.edu/about.html. To view current career opportunities and apply, please visit https://www.wgu.edu/about/careers.html. <br></p> <p>#LI-SC </p><p>#D&I </p><p>The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. </p><p>At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: <br></p>Pay Range: $197,000.00 - $305,300.00 <p>How to apply: apply online </p><p><b>Full-time Regular Positions<i>(FT classification, standard working hours = 40)</i></b> </p><p>This is a full-time, regular position that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. </p><p> <br><i>The University is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</i> </p>

Machine Learning Engineer Jobs in Salt Lake City, UT

Ai Machine Learning Engineer Manager Consulting Location Open
December 11, 2024

Ai Machine Learning Engineer Senior Consulting Location Open
December 9, 2024

Principal Machine Learning Engineer Nlpllm
December 9, 2024

Ai Machine Learning Engineer Manager Consulting Location Open
December 9, 2024

Staff Machine Learning Engineer
December 2, 2024

Machine Learning Engineer Summer Intern Remote Paid
November 30, 2024

Staff Machine Learning Engineer
November 30, 2024

Principal Machine Learning Engineer Nlpllm
November 30, 2024

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Machine Learning Engineer Jobs in Salt Lake City, UT

Ai Machine Learning Engineer Manager Consulting Location OpenDecember 11, 2024

Ai Machine Learning Engineer Senior Consulting Location OpenDecember 9, 2024

Principal Machine Learning Engineer NlpllmDecember 9, 2024

Ai Machine Learning Engineer Manager Consulting Location OpenDecember 9, 2024

Staff Machine Learning EngineerDecember 2, 2024

Machine Learning Engineer Summer Intern Remote PaidNovember 30, 2024

Staff Machine Learning EngineerNovember 30, 2024

Principal Machine Learning Engineer NlpllmNovember 30, 2024