Top Senior Machine Learning Engineer Jobs in San Francisco
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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.
GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx's platform for both customers and stakeholders.
This is a senior-level machine learning engineer role focused on modeling for underwriting and credit. The role involves building and integrating ML solutions for evaluating customer cash flow risk and optimizing automated decisioning using AI/ML techniques. The engineer will work cross-functionally with finance, product, and engineering teams to bring solutions into production.
Samsara is looking for an experienced Machine Learning Engineer for our Machine Learning Engineering team. Our Machine Learning team is responsible for leading the teams that build and ship Samsara’s AI features, and the infrastructure that supports them. This includes computer vision, large language models, and multimodal machine learning on edge devices and in the cloud to support our rapidly growing footprint of customers. This organization is building the ML foundation to stay ahead of the needs of our expanding customer base and platform.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for advancing the core machine learning solution and infrastructure, working on recommender-system related challenges, and collaborating with various engineering teams to improve ML development experience.
Senior Machine Learning Engineer role at Roblox focusing on leveraging Generative AI for 3D content creation. Responsibilities include developing ML models, mentoring team members, staying updated with latest research, and publishing innovations. Requires 3+ years of ML experience, expertise in Python and deep learning frameworks, and familiarity with generative AI techniques.
Research, design, and build high-impact end-to-end machine learning systems for customer growth. Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions. Lead the design of scalable ML solutions in production. Promote and role-model best practices of data science, engineering, and communication throughout the organization. Evangelize ML adoption and innovation across the product and engineering teams. Foster a diverse community of data scientists and ML engineers.
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
Build systems to detect and address problematic content on Roblox, focusing on Critical Harms. Develop ML models, backend services, and platform features to ensure safety on the platform. Help shape the team's roadmap and strategy for content safety. Contribute to creating a safer online environment for users in the metaverse.
As a Senior machine learning engineer in the Ads prediction team, you will research, formulate and execute on our mission to deliver the right ad to the right user under the right context with data and ML driven solutions.
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Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
As a Machine Learning Engineer at Apple, you will innovate and apply research in ML to tackle complex data problems, impacting future products and the ML ecosystem. Responsibilities include data-model co-design, developing data curation frameworks, building model evaluation pipelines, and analysis of data performance. Opportunities to publish research work in academic venues. Key topics include representation learning, user experience evaluation, data selection techniques, and data distribution modeling.
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.
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.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
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.
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.
The Senior Machine Learning Engineer at Samsara will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This role involves collaborating with various engineering teams and partners to deliver core infrastructure and optimizations.
Design, build, and launch credit products and features for evaluating customer cash flow risk. Collaborate with cross-functional teams to enhance user experiences and unlock new machine learning applications. Mentor and support fellow engineers to grow development capabilities.
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Join our AI team as an ML Engineer to incorporate AI technologies into our product and stay up-to-date with the latest trends.
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.
Design and implement machine learning algorithms for multimodal data processing, leverage generative modeling techniques, integrate language models, ensure responsible AI practices, and contribute to the community.
Top San Francisco Companies Hiring Senior Machine Learning Engineers
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