Top Machine Learning Jobs in San Francisco Bay Area, CA

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Lead data collection and annotation initiatives for audio data at Sesame. Collaborate with teams to gather requirements, manage resources, and ensure quality delivery of data.

The role involves advancing information literacy through AI and machine learning by assessing media trustworthiness, formulating metrics, prototyping ML techniques, conducting exploratory data analysis, and collaborating with product teams to drive impactful research.

Lead the development and deployment of machine learning systems for mineral refining operations, collaborating with chemistry and engineering teams to optimize performance and inform operational decisions.

The Research Engineer/Scientist will advance AI through innovative RL methods, focusing on training general-purpose agents and enhancing existing ML systems.

Research and develop improvements to machine learning models, collaborate with research and product teams, and evaluate model performance.

Lead the development of Zipline's data platform for autonomy, ensuring reliable operation and effective data logging, processing, and ML training.

The role involves advising clients on AI strategy, designing AI solutions, and leading change management efforts. This includes governance, training, and client engagement while mentoring junior team members.

The Software Engineer will create and manage ML data infrastructure, design data pipelines for multimodal data, and ensure data quality for model training.

Lead the Perception team in developing occupancy models and advanced AI techniques while collaborating cross-functionally. Oversee the team’s roadmap and technical strategy, ensuring high performance and reliability in complex environments.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

The Applied AI Scientist will design and implement ML models to decode brain signals, contribute to data platforms, and ensure interpretable results for medical applications.

The role involves building AI agents to help design products and solve significant global problems, contributing to innovative AI research.

As a Computational Protein Design Scientist, you will leverage generative AI to design proteins, improve models, and collaborate with lab teams for experimental validation.

You will lead AI deployments within top pharmaceutical and biotech firms, act as a strategic advisor, and translate customer needs into product requirements.

The Tech Lead Manager will oversee the applied ML work for Voxel's perception systems, guiding technical direction, managing a team, and ensuring successful model deployment in various customer environments.

Develop deep learning models for autonomous vehicle trajectory generation, collaborate with cross-functional teams, and analyze system performance metrics.

The Staff Technical Product Manager will own the product roadmap for Global Defense, design AI products, collaborate with engineers, and understand defense workflows to drive product outcomes.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

The role involves improving AI-assisted coding tools, making internal systems API-ready, automating engineering tasks, and enhancing developer productivity across teams.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

In this role, you will optimize prompts, develop tools, shape core AI agents, and design solutions that meet customer needs in diverse sectors.

Pravāh seeks candidates able to propose their own roles to contribute to AI solutions for electric grid management and operations, focusing on high agency, ownership, and strategic thinking.

As an AI Weather Scientist, you will develop advanced weather forecasting models, utilizing machine learning and numerical methods to enhance climate prediction systems.