8 machine learning jobs found in San Francisco, CA

Machine Learning Engineer Full Time (San Francisco) We’re looking for someone to continue leveraging our vast trove of medical imaging data in order to train and deploy deep neural network models. These models enable our surgical robot to understand and reason about both our robot and the patient’s anatomy, which ultimately gives doctors the insight and control necessary to quickly and safely complete the procedure.   remedy

Staff Software Engineer, Machine Learning (Safety)   San Francisco, CA   We are seeking an accomplished and experienced Staff Machine Learning Engineer – Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross-functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting-edge solutions that improve safety on the platform. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. Define and drive the Safety ML team’s technical strategy and roadmap. Set the bar in technical reviews, including code, design, and architecture, ensuring the team...

Machine Learning Engineer - Infra San Francisco, CA     The Opportunity We are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for enhancing the core features that power our machine learning initiatives. The ideal candidate will have deep experience building scalable software and infrastructure, while consistently adhering to corporate standards and best practices. What you'll do Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions. Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain. Collaborate closely with ML engineers and data scientists to understand and address their...

Machine Learning Engineer  SFO, CA (Hybrid)  >  > Duration: 1+ year  >  > Job Description:  >  > NOTE : Must be good in comm and technical + Minimum of 8 years of work > exp needed  >  > Role Overview  >  > We are seeking a skilled Machine Learning Engineer to design, develop, > and deploy advanced AI/ML models, with a focus on Generative AI, RAG > architectures, and large-scale machine learning applications. You will > work on end-to-end ML pipelines, integrating state-of-the-art tools > like OpenAI, Anthropic Claude, and vector databases to deliver > high-quality solutions for real-world business challenges.  >  > Key Responsibilities  >  > ·        Machine Learning, Generative AI & RAG Development:   >  > ·        Build and fine-tune large language models (LLMs) using >...

Sr. Director, Data Science, Patient Identification   San Francisco, CA, 94118   Description: Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a "moneyball for biotech" approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of...

Senior Principal Data Scientist (Healthcare & Life Sciences) South San Francisco, CA - Hybrid Duration: Long term  Senior Principal Data Scientist (Healthcare & Life Sciences) Position Overview As a Senior Principal Data Scientist, you will serve as a technical visionary and strategic partner within the Product Development Data Sciences organization. You will lead the design and implementation of advanced analytical solutions that transform complex biological, clinical, and real-world data (RWD) into actionable insights. Your work will directly impact clinical trial design, regulatory submissions, and the delivery of personalized healthcare solutions.   Key Responsibilities ·       Strategic Leadership: Act as a thought leader in defining the roadmap for data science capabilities. Partner with clinical, medical, and commercial leaders to translate high-level scientific questions into robust analytical frameworks....

  Data Architect (SAP Data exp)   Emeryville, CA Terms: Contract(Only on w2)   Job Details:   Experience & Expertise 12+ years of experience in data science, analytics, or data governance roles 5+ years leading data science, AI, or enterprise analytics functions at a senior level Proven track record of successfully delivering AI and analytics solutions that drive measurable business impact Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, and data visualization tools Strong understanding of data governance frameworks, data privacy, security, and regulatory compliance (e.g., CCPA, GDPR) Experience building and scaling analytics and data teams within retail, consumer products, or supply chain organizations Bachelor’s degree in computer science, Data Science, Engineering, or related field...

Staff Software Engineer, Growth San francisco     Description: Build the data infrastructure for robots operating in the real world. Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened.   About the role We’re looking for a Staff Growth Engineer to join Foxglove and embed directly with our Growth team. In this role, you’ll own critical parts of the customer journey; from acquisition and onboarding to activation, monetization, and expansion; by building, iterating, and experimenting directly in the product. This is not a “growth hacks” role. You’ll work at the intersection of engineering, product, data, and design to identify leverage points, run experiments, and ship durable improvements that meaningfully impact user outcomes and revenue....