Top Machine Learning Jobs in San Francisco Bay Area, CA

The Specialist Solutions Architect will design production-grade ML & AI applications, optimize AI workloads, and provide technical support while collaborating across teams to enhance Databricks' offerings.

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

The Machine Learning Engineer will design, build, and maintain scalable ML systems, optimize ML pipelines, implement MLOps, and collaborate with teams to deploy models into real-time products.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

As a Senior Machine Learning Engineer, you will drive AI initiatives, collaborate across teams, and develop scalable ML infrastructure to improve healthcare.

In this role, you will design and develop AI and machine learning models, maintain data pipelines, evaluate model performance, and collaborate with cross-functional teams to integrate AI capabilities into web-based applications.

Partner with a mentor to develop and apply ML methods on large multi-modal biological datasets (omics, imaging, genetics). Prototype, productionize, and deploy models, analyze results, and collaborate with cross-functional scientists over an 11–12 week summer internship.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

As a Machine Learning Research Intern, you will develop and evaluate prediction models for biological impact using large-scale datasets, collaborating closely with the ML team.

As a Senior Machine Learning Research Engineer, you'll build and optimize large-scale ML training systems, focusing on distributed infrastructures and performance enhancements for innovative model training.

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

As a Machine Learning Engineer, you'll design and implement detection systems, enhance model efficacy, and analyze datasets to improve email detection against security threats.

Develop innovative machine learning algorithms for modeling proteins, collaborate with biologists, and refine predictions through experiments.

Lead the ML research and engineering teams at Wispr, focusing on developing multimodal speech recognition models and RL-based personalization of LLMs. Oversee model training, serving, and team growth.

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

The ML Engineer will develop applications for biomarker and target discovery, supporting scientists with multi-step workflows and analyses in drug development.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

Responsible for designing and implementing predictive models for monetization and learner engagement, integrating machine learning systems into existing products, and collaborating with cross-functional teams to deliver measurable business outcomes.

As a Scientist in Machine Learning, you will develop novel models for RNA structure and drug targeting, advancing the R&D platform and collaborating with interdisciplinary teams.

The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

As a Senior Machine Learning Engineer, you will design and train ML models for logistics, manage their production deployment, and optimize their performance while collaborating with the data science team.

The Senior ML Engineer will design evaluations for AI features, optimize pipelines, and ensure quality in ML systems while collaborating with cross-functional teams.