Top Senior Machine Learning Engineer Jobs in San Francisco, CA

Lead a diverse technology team to deliver backend solutions using cloud technologies and manage complex projects while mentoring developers.

Design and build ML models, optimize data pipelines, lead teams, and support AI software components, while advancing AI capabilities for improved customer experiences.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Design and develop auto-labeling algorithms for autonomous driving, collaborating with ML engineers to enhance data quality and efficiency in model training.

Design and implement models for spatial-temporal visual reasoning in autonomous driving, collaborating with ML engineers to optimize LLM/VLM performance.

Seeking a Senior Machine Learning Engineer to enhance merchant data through AI solutions, ensuring data quality, and supporting cross-functional teams.

Design and implement MLOps systems for ML and LLM services, ensure reliability, and collaborate across teams to optimize AI solutions.

The candidate will design and implement next-generation AI systems, collaborate with engineers and scientists, and innovate with impactful AI technologies.

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 at Conviva focuses on advancing AI initiatives by designing, developing, and deploying ML models for a Real-Time Performance Analytics Platform, collaborating with product teams and maintaining ML infrastructure.

As a Senior Machine Learning Engineer, you will build and operate ML systems for real-time personalization, oversee projects from data exploration to deployment, and collaborate to improve system reliability and performance.

Lead research and development for computer vision algorithms in robotics, focusing on 2D/3D data, model optimization, technical leadership, and cross-functional collaboration.

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.

The Senior Software Engineer will lead projects and develop AI/ML features using Python and Go, focusing on model services and APIs.

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

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

Join Amplifier as a Senior ML Engineer to optimize and manage the deployment of our Large Acoustic Model, focusing on performance and pipeline architecture.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

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

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.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

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

As a Senior Software Engineer, you will build AI platform features, provide technical leadership, drive projects, and maintain high-performance systems primarily using Python and Go.