Top Senior Machine Learning Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

Design and implement AI-native demand optimization algorithms and systems for auction and bidding, improving delivery efficiency and user experience.

Lead the development of AI systems within Unity to create smarter agents and simulations, collaborating with teams on innovative projects and ensuring quality and performance.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

The role involves developing and optimizing scalable AI/ML systems, collaborating across teams, and enhancing workflows to support drug discovery.

Lead the development of AI systems within the Unity engine, focusing on agent behavior, planning, and decision-making in real-time environments.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

As a Senior Machine Learning Engineer, you'll enhance NLU capabilities, design algorithms, and push AI performance while ensuring responsible AI practices.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

Design and implement high-performance CTR and CVR prediction models for ad ranking systems. Collaborate on system quality and direct future team strategies.

The Sr. ML Engineer will build and enhance ML solutions for merchant data, using Python and SQL, and develop MLOps systems.

Design and implement ML models and systems, collaborate with cross-functional teams, and advance R&D efforts in a fast-paced environment.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Lead development of GenAI products, improve LLM quality, design ML pipelines, and collaborate with cross-functional teams to enhance AI solutions.

As a Senior Data Scientist, you will apply quantitative analysis and machine learning to drive business impact, build models, and influence product decisions. You will also help shape the data science roadmap at Plaid, fostering a data-first approach across the organization.

As a Senior Machine Learning Engineer, you'll design and build AI systems, manage ML lifecycles, and create recommendation and retrieval systems while collaborating cross-functionally.

The Senior AI/ML Tooling Engineer will develop tools for analyzing ML model performance, collaborating with engineering teams, and optimizing training and inference.