<div>The Difference You Will Make:There is a huge opportunity to improve the Host and Guest experience by leveraging open source, third party, and home grown ML models. As a staff engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.A Typical Day:<ul><li>Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.</li><li>Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.</li><li>Prototype machine learning use cases for use in the product, and work with stakeholders to iterate on requirements.</li><li>Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.</li></ul>Your Expertise:<ul><li>9+ years of industry experience in applied Machine Learning with a BS/Masters and 6+ years with a PhD.</li><li>Must have experience in both Natural Language Processing and Computer Vision.</li><li>Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills</li><li>Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization, state-of-art NLP and CV algorithms) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)</li><li>Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)</li><li>Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models</li><li>Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)</li><li>Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.</li></ul>Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care of You:Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$204,000—$254,000 USD</div>
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<div>The Adobe Document Cloud Data Science team is looking for Machine Learning Engineer who can apply computer vision techniques and help us build solutions that will drive the success of our Document Cloud business. This is an excellent opportunity to invent and build the creative tools of the future! You will have the opportunity to exercise creativity in problem solving by delivering inventive new solutions for hard research problems, and incorporate these algorithms into Adobe Scan, thus putting your work in the hands of millions of users. We invite you to join a team of hardworking engineers to elevate our customer experiences to the next level.What you’ll do<ul><li>Develop and implement scalable and efficient models on large-scale datasets to address various business problems through using sophisticated computer vision, machine learning techniques.</li><li>Solve challenging Data Science problems such as online learning, reinforcement learning etc. when solving business problems in digital marketing.</li><li>Collaborate with product management and engineering groups to develop new products and features.</li><li>Create a winning culture built on teamwork and shared accomplishments- have fun along the way!</li></ul>What you need to succeed<ul><li>Expertise in deep neural networks, vector graphics, image processing, computer vision.</li><li>A strong personal research track record including peer-reviewed publications in top computer vision, graphics, and machine learning venues.</li><li>Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)</li><li>Experience with design of high-level APIs and frameworks</li><li>Expertise in optimizing and deploying machine learning models on device</li><li>Basic knowledge of C++</li><li>PhD or MS degree in Computer Science or a related technical field, with a focus on computer vision and/or machine learning</li><li>Excellent communication, relationship skills, and a great teammate.</li><li>Knowledge of iOS and Android app development is a plus.</li></ul>Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $135,200 -- $250,900 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.</div>
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<div>POSITION SUMMARYAs a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems’ health and scalability is critical. To guarantee the success of machine learning systems, work around transforming ML models to high-performance production-level code needs to be done, including not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps.This position will be ideally hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent benefits for our employees including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location.WHAT YOU'LL DO<ul><li>Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact</li><li>Find innovative and cost-effective solutions to key problems, deliver high-quality code</li><li>Work with product managers/machine learning engineers/performance, and quality engineers to take the product to market</li><li>Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness</li><li>Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems</li><li>Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed</li><li>Work closely with data platform teams to enable robust scalable batch and real-time data pipelines</li><li>Drive high engineering standards on the team through mentoring and knowledge-sharing</li><li>Drive engineering best practices around code reviews, automated testing, and monitoring</li></ul>WHAT WE'RE LOOKING FOR<ul><li>MS degree or Ph.D. degree in Computer Science or a related technical field</li><li>7+ years of experience in ML engineering</li><li>Strong programming skills in Python and data engineering skills</li><li>Extensive knowledge of machine learning algorithms</li><li>Hands-on experience with architectural pattern for large, high-scale software applications</li><li>Industry experience building and productionizing machine learning systems</li><li>Strong oral and written communication skills</li><li>Experience in NLP or CV is a plus</li></ul>At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.</div>
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<div>X serves our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and create a marketplace that enables the economic success of all its participants. We are the Community Notes team — empowering the people to keep each other better informed, with a fully open source algorithm and data. Community Notes is constantly advancing the state-of-the-art in improving the quality of information on the internet and we employ an experimental, fast-moving, iterative approach to find product solutions that work for people of all different points of view. What You’ll Do: <ul> <li>Design and build improvements to our unique machine learning algorithm that improve Community Notes’ helpfulness, accuracy, scale, speed, and manipulation resistance</li> </ul> <ul> <li>Work in public: contribute to our open source code base, supporting external researchers and people working with our public data . For (example).</li> </ul> <ul> <li>Build efficient, scalable internal production machine learning systems and infrastructure</li> </ul> <ul> <li>Contribute to the entire product via tight cross-functional collaborations with product/eng/etc</li> </ul> Qualifications: <ul> <li>Experience developing and shipping high-impact ML solutions end-to-end: from getting your hands dirty creating training data pipelines, to developing novel model architectures, to deploying to production at scale reliably</li> </ul> <ul> <li>Demonstrated ability to work with real-world data to extract insights, inform product roadmap and develop guiding metrics in situations that lack cut-and-dry evaluation criteria</li> </ul> <ul> <li>Familiarity with one or more deep learning software frameworks, e.g. PyTorch</li> </ul> <ul> <li>Enjoy working in a 0-to-1 space with no known machine learning or product solutions, and trailblazing to build novel solutions that work</li> </ul> <ul> <li>Love doing whatever work is needed to get things done, enabling rapid iteration on the product</li> </ul> Join our small and fast-paced team and empower the people to keep each other better informed. If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!</div>
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<div>The Difference You Will Make:There is a huge opportunity to improve the Host and Guest experience by leveraging open source, third party, and home grown ML models. As a staff engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.A Typical Day:<ul><li>Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.</li><li>Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.</li><li>Prototype machine learning use cases for use in the product, and work with stakeholders to iterate on requirements.</li><li>Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.</li></ul>Your Expertise:<ul><li>9+ years of industry experience in applied Machine Learning with a BS/Masters and 6+ years with a PhD.</li><li>Must have experience in both Natural Language Processing and Computer Vision.</li><li>Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills</li><li>Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization, state-of-art NLP and CV algorithms) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)</li><li>Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)</li><li>Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models</li><li>Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)</li><li>Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.</li></ul>Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care of You:Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$200,000—$254,000 USD</div>
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Machine Learning Engineer 1St. Creative Learning Academy Inc. Jobs

Staff Machine Learning Engineer User Listing Marketplace IntelligenceAugust 13, 2024

Machine Learning EngineerAugust 13, 2024

Staff Machine Learning EngineerAugust 13, 2024

Machine Learning Engineer Community NotesAugust 13, 2024

Staff Machine Learning Engineer AntibotsAugust 13, 2024