We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are: As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions. The Work: <h3>Development & Implementation: </h3><ol><li>Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements. </li><li>Translate research prototypes into production-ready code and scalable solutions. </li><li>Optimize algorithms and models for performance, efficiency, and reliability in real-world applications. </li> </ol><h3>Deployment & Integration: </h3><ol><li>Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows. </li><li>Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges. </li><li>Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness. </li> </ol><h3>Collaboration & Communication: </h3><ol><li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives. </li><li>Provide technical guidance and support to team members on AI development and deployment issues. </li><li>Communicate complex technical concepts and findings to both technical and non-technical stakeholders. </li> </ol><h3>Research & Innovation: </h3><ol><li>Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models. </li><li>Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement. </li><li>Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies. </li> </ol>Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA. Here's what you need: <ol><li>Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate’s degree) in Computer Science, Computer Engineering, or related backgrounds. </li><li>2 years of work experience with programming languages such as Python, C++, or Java. </li><li>2 years of work experience with machine learning algorithms and tools (e.g., Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. </li> </ol>Bonus points if you have: <ol><li>5 years of work experience with programming languages such as Python, C++, or Java. </li><li>5 years of work experience with machine learning frameworks (e.g., Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. </li><li>2 years of work experience in conducting research in machine learning, natural language processing or computer vision. </li><li>Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields. </li> </ol>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below. We accept applications on an ongoing basis and there is no fixed deadline to apply. Role Location Annual Salary Range: <ul><li>California: $93,400 to $258,500 </li><li>Colorado: $93,400 to $223,300 </li><li>District of Columbia: $99,500 to $237,800 </li><li>New York: $86,500 to $258,500 </li><li>Maryland: $86,500 to $206,800 </li><li>Washington: $99,500 to $237,800 </li> </ul>#LI-NA-FY25 #J-18808-Ljbffr

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are: As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions. The Work: <h3>Development & Implementation: </h3><ol><li>Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements. </li><li>Translate research prototypes into production-ready code and scalable solutions. </li><li>Optimize algorithms and models for performance, efficiency, and reliability in real-world applications. </li> </ol><h3>Deployment & Integration: </h3><ol><li>Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows. </li><li>Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges. </li><li>Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness. </li> </ol><h3>Collaboration & Communication: </h3><ol><li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives. </li><li>Provide technical guidance and support to team members on AI development and deployment issues. </li><li>Communicate complex technical concepts and findings to both technical and non-technical stakeholders. </li> </ol><h3>Research & Innovation: </h3><ol><li>Stay current with the latest developments in AI research and technology, and apply relevant advancements to improve AI systems and models. </li><li>Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement. </li><li>Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies. </li> </ol>Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA. Here's what you need: <ol><li>Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate’s degree) in Computer Science, Computer Engineering, or related backgrounds. </li><li>Minimum of 5 years of work experience with programming languages such as Python, C++, or Java. </li><li>Minimum of 5 years of work experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. </li> </ol>Bonus points if you have: <ol><li>6+ years of work experience with programming languages such as Python, C++, or Java. </li><li>6+ years of work experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. </li><li>3+ years of work experience in conducting research in machine learning, natural language processing or computer vision. </li><li>Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields. </li><li>2+ years of team management experiences. </li> </ol>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below. We accept applications on an ongoing basis and there is no fixed deadline to apply. Information on benefits is here. (<a > </a>) Role Location Annual Salary Range: <ol><li>California $163,000 to $434,000 </li><li>Colorado $163,000 to $375,000 </li><li>District of Columbia $173,500 to $399,300 </li><li>Illinois $150,900 to $375,000 </li><li>Minnesota $163,000 to $375,000 </li><li>Maryland $150,900 to $347,200 </li><li>New York $150,900 to $434,000 </li><li>Washington $173,500 to $399,300 </li> </ol>#LI-NA-FY25 What We Believe: We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (<a > </a>) Equal Employment Opportunity Statement: Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (<a > </a>). Requesting An Accommodation: Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (<a > </a>) or speak with your recruiter. Other Employment Statements: Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. #J-18808-Ljbffr

Flow Traders is looking for a Senior Research Engineer to join us in our Chicago office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities. As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and its integration with our platform for deploying/running those models in production. You'll be responsible for expanding the current (limited) scope of the framework and platform to become the global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. What you will do <ul><li>Lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production</li><li>Develop tools/frameworks for use by our Quantitative Researchers and Traders to test hypotheses and tune/develop data-driven systematic trading strategies</li><li>Work with the business to refine requirements, collect feedback, and iterate on design and implementation of research tools</li></ul> What you need to succeed <ul><li>Advanced degree (Master's or PhD) in a relevant field</li><li>5+ years of hands-on experience in MLOps and Research Engineering</li><li>Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn</li><li>Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring</li><li>Prior commercial experience in designing and implementing systematic trading systems</li><li>Experience in developing and deploying RESTful APIs and microservices for model serving</li><li>Familiarity with Big Data technologies such as Hadoop and Spark</li><li>Experience with data visualization and reporting tools</li><li>Familiarity with databases and query languages for data extraction and transformation</li><li>Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)</li><li>Solid understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)</li></ul> At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company's success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution. The total compensation for this role includes a base of $185,000-$210,000 plus annual discretionary variable remuneration. Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Research Engineer , you will be an integral member of an algorithmic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility. We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: <ul><li>Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. </li><li>Design trading strategy simulation software optimized for distributed computation. </li><li>Develop software for large scale data acquisition, storage, accessibility, and visualization. </li><li>Create user interfaces for data exploration and post trade analysis. </li><li>Accelerate the research lifecycle from strategy prototype to production deployment. </li><li>Evaluate new technology and improve our technology stack. </li> </ul>What you bring to the team: <ul><li>Bachelor’s degree in Computer Science, Computer Engineering, or related field. </li><li>Excellent software development skills in modern C++ and Python. </li><li>A strong understanding of object oriented design, data structures and algorithms. </li><li>A strong understanding of quantitative finance mathematics. </li><li>A solid foundation in programming with the ability to think, communicate, and code clearly. </li><li>A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network). </li><li>Skills in multi‐threaded applications. </li><li>An understanding of how to build software for long term use and broad adoption. </li><li>Demonstrated ability to produce algorithmic code in a fast-paced environment. </li> </ul>#J-18808-Ljbffr

Description The Quantitative Research Engineer reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines, and all other regulatory and accreditation standards. The Research and Development Engineer is responsible for developing technology that is impactful, focusing on solving real-world problems that will work seamlessly with the end user. Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care. We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly. Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by: <ul><li>Leveraging AI, automation, and rollout of advanced cyber controls that support digital transformation strategies </li><li>Implementing advanced technologies in clinical and administrative areas </li><li>Furthering the development of the end user support model to help enhance modern infrastructure </li> </ul>Responsibilities: <ul><li>Design software and hardware solutions in a team-based environment. </li><li>Work closely with the end user to support and improve workflows. </li><li>Stay current on development tools, programming techniques and computing equipment; participate in educational opportunities and read professional publications. </li> </ul>Qualifications Required: <ul><li>Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related technical field, or Master’s related to healthcare with some technical background. </li><li>Experience working directly in software development, ML/AI, or healthcare-related field. </li><li>Excellent written and verbal communication skills. </li><li>Comfort meeting with a range of technical and clinical staff. </li><li>Experience and proficiency with:<ul><li>Manipulating a broad range of data types (e.g., text, 2D images, time series data) </li><li>Traditional ML techniques (gradient descent, decision trees, etc.) </li><li>High-level machine learning APIs (Pytorch, JAX, Tensorflow) </li><li>Design and optimization of data pipelines </li><li>Python (or similar Object-Oriented language) or C. </li><li>git/Github </li><li>Containers </li> </ul> </li> </ul>Preferred: <ul><li>Advanced degree in Computer Science, Engineering, Mathematics, Physics, or related technical field. </li><li>Experience with a range of data types and manipulations:<ul><li>Multimodal unstructured data (text, 2D images, video, 3D/4D tomographic imagery, waveforms, time series, sparse data) </li><li>Understanding of how to write optimized data queries (SQL, NoSQL, legacy formats) </li> </ul> </li><li>ML/AI tools and methods:<ul><li>ML/AI optimization for training (distributed and others) and inference (ONNX) </li><li>Deep neural network architectures (transformers, convolutional neural networks, recurrent neural networks, etc.) </li> </ul> </li><li>Design and optimization of high throughput data pipelines and computer infrastructure:<ul><li>Low-level hardware programming (C, C++, Rust, assembly, Verilog/VHDL) </li><li>Network design and infrastructure </li><li>Containerization platforms and orchestration infrastructure (Docker, Kubernetes) </li><li>Hybrid cloud infrastructure combining on-and-off-prem high-performance computing. </li><li>Data and infrastructure security </li> </ul> </li><li>Domain-specific tooling:<ul><li>Weights & Biases/Tensorboard, unit testing methodologies, management of large code bases. </li><li>Ability to robustly document solutions, including diagrams, charts, etc. </li><li>Integrating code base with standardized documentation platforms (Sphinx) </li> </ul> </li><li>Healthcare:<ul><li>Health care data experience (PHI/HIPAA, HL7 FHIR) </li><li>Familiarity with FDA regulation </li><li>Applied clinical experience. </li> </ul> </li> </ul>Equal Opportunity Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation, or any other protected status. #J-18808-Ljbffr

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are: As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions. The Work: <ol><li>Development & Implementation: <ul><li>Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements. </li><li>Translate research prototypes into production-ready code and scalable solutions. </li><li>Optimize algorithms and models for performance, efficiency, and reliability in real-world applications. </li> </ul> </li><li>Deployment & Integration: <ul><li>Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows. </li><li>Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges. </li><li>Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness. </li> </ul> </li><li>Collaboration & Communication: <ul><li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives. </li><li>Provide technical guidance and support to team members on AI development and deployment issues. </li><li>Communicate complex technical concepts and findings to both technical and non-technical stakeholders. </li> </ul> </li><li>Research & Innovation: <ul><li>Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models. </li><li>Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement. </li><li>Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies. </li> </ul> </li> </ol>Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA. Job Qualifications: Here's what you need: <ul><li>Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate’s degree) in Computer Science, Computer Engineering, or related backgrounds. </li><li>2 years of programming experience with programming languages such as Python, C++, or Java. </li><li>1 year of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. </li> </ul>Bonus points if you have: <ul><li>3 years of programming experience with programming languages such as Python, C++, or Java. </li><li>2 years of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. </li><li>1 year of experience in conducting research in machine learning, natural language processing or computer vision. </li><li>Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields. </li> </ul>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Role Location Annual Salary Range: <ul><li>California $63,200 to $188,600 </li><li>Colorado $63,200 to $163,000 </li><li>District of Columbia $67,300 to $173,500 </li><li>New York $58,500 to $188,600 </li><li>Maryland $58,500 to $150,900 </li><li>Washington $67,300 to $173,500 </li> </ul>What We Believe: We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Equal Employment Opportunity Statement: Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement. Requesting An Accommodation: Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Other Employment Statements: Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. #J-18808-Ljbffr

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

Translate research prototypes into production-ready code and scalable solutions.

Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives .

Provide technical guidance and support to team members on AI development and deployment issues.

Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

Stay current with the latest developments in AI research and technology, and apply relevant advancements to improve AI systems and models.

Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our G enerative AI Center of Excellence

located in Mountain View, CA.

Here's what you need

Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate’s degree) in Computer Science, Computer Engineering, or related backgrounds

Minimum of 5 years of work experience with programming languages such as Python, C++, or Java.

Minimum of 5 years of work experience with machine learning algorithms and tools ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

6+ years of work experience with programming languages such as Python, C++, or Java.

6+ years of work experience with machine learning frameworks ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing.

3+ years of work experience in conducting research in machine learning, natural language processing or computer vision.

Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related field s

2+ years of team management experiences

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $161,200 to $434,000

Colorado $161,200 to $375,000

District of Columbia $171,700 to $399,300

New York $149,300 to $434,000

Maryland $149,300 to $347,200

Washington $171,700 to $399,300

#LI-NA-FY25

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Research Engineer Jobs in Chicago, IL

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Developmentresearch Engineer
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Research Engineer Jobs in Chicago, IL

Advanced Ai Research EngineerDecember 14, 2024

Senior Advanced Ai Research EngineerDecember 14, 2024

Senior Research EngineerDecember 11, 2024

Research EngineerDecember 9, 2024

Quantitative Research EngineerDecember 9, 2024

Associate Ai Research EngineerDecember 9, 2024

Senior Advanced Ai Research EngineerDecember 4, 2024

Developmentresearch EngineerNovember 24, 2024