Top Remote Senior Machine Learning Engineer Jobs in San Francisco Bay Area
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Seeking a Senior Machine Learning Engineer to contribute to shaping the future of ML/AI at TaskRabbit. Responsible for building scalable ML infrastructure, pipelines, monitoring services, and collaborating with engineering teams. Requires 3+ years of experience and expertise in Python.
The Senior Machine Learning Engineer will be responsible for developing cutting-edge ML models and algorithms for Square's measurement system, working with stakeholders to refine growth strategy, and staying up-to-date with the latest advancements in machine learning.
Join Square's Measurement Machine Learning team as a senior Machine Learning Engineer to develop cutting-edge ML models and algorithms for strategic decision-making. Work on data-driven attribution solutions and collaborate with various stakeholders to refine growth strategies.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-functional projects, maintain code quality, collaborate with teams, and contribute to the growth of development capabilities through mentoring.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in machine learning.
Senior Machine Learning Engineer role at Square's Measurement Machine Learning team. Responsible for developing cutting-edge ML models, building data science solutions, and collaborating with stakeholders for growth strategy and investment decisions.
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Design, build, and train machine learning models, optimize machine learning pipeline for scale and robustness, document software functionality and project plans.
Design, build, and enhance batch and real-time inference services and tooling that support Machine Learning use cases. Facilitate modelers by providing necessary infrastructure/tools for development. Partner with ML modelers to encourage adoption of new tools and technologies. Join a new and growing team with a significant impact on team culture.
Featured Jobs
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Participate in data science projects, collaborate with cross-functional teams, apply quantitative analysis, develop strategies, and improve products through insights and recommendations.
Responsible for designing, building, and managing distributed services and pipelines for Underwriting & Credit at Cash App. Lead impactful projects, ensure high code quality, collaborate with cross-functional teams, and contribute to development capabilities through mentoring.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to understand financial performance, and experiment with modeling techniques on comprehensive customer data.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products.
Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.
As a Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data-driven decision-making, enhance customer experiences, and optimize marketing campaigns.
Develop ML solutions to increase the safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams across ML, full-stack, and firmware to deliver core infrastructure and optimizations.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Impact industries like agriculture, construction, transportation, and manufacturing.
Design equitable and competitive compensation programs. Base pay ranges from $165,500 to $265,800. Additional benefits such as bonuses, commissions, and equity may be provided.
As a machine learning engineer, you will work on a large-scale machine-learning system that touches millions of customers. You will contribute to our core recommender systems and improve our solution as the field evolves.
Lead Principal Machine Learning Software Engineer role at Atlassian's Central AI team, responsible for developing AI infrastructure, data pipeline, frameworks, and models. Works closely with product, backend/frontend engineering, and analytics teams to integrate AI functionalities into Atlassian products. Requires expertise in Python or Java, knowledge of SQL, Spark, and cloud data environments. Strong quantitative background with a master's or PhD in Statistics, Mathematics, Computer Science, or relevant work experience.
Seeking an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large-scale initiatives, and participating in open source projects.
Designing and managing distributed services and pipelines for Underwriting & Credit at Cash App. Leading cross-functional projects, ensuring high code quality, collaborating with different teams, and mentoring engineers. Solving technical problems at scale and contributing to development capabilities.
Seeking a highly motivated Senior Staff Machine Learning Engineer to shape the future of ML/AI at TaskRabbit. Responsibilities include developing advanced ML models, collaborating with cross-functional teams, and contributing to search and discovery projects. Must have expertise in machine learning, NLP, and graph analysis.
Seeking a Senior Machine Learning Platform Engineer to join Machine Learning Foundations team. Responsible for building self-service tooling for the model lifecycle and working closely with internal customers to provide sustainable software solutions. Must have experience in software engineering and machine learning engineering with a focus on the ML lifecycle.
Seeking a Senior Staff Machine Learning Engineer with expertise in AI research to lead experimental projects optimizing large language models and enhancing model training strategies. The role involves publishing impactful research findings and contributing to the scientific community as a leader in AI research. Autonomous work, innovation in data curation, and continuous exploration of new methodologies are key aspects of this position.
Senior Machine Learning Engineer responsible for leading projects to enhance ad measurement capabilities using privacy enhancing technologies. Design and develop machine learning models for modeled conversions, identity matching, and privacy technologies. Mentor junior team members, conduct A/B tests, and stay updated on algorithmic techniques. Collaborate with cross-functional teams and maintain high-performance distributed systems.
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