4 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...

AI/ML Engineer  San Jose, CA (Onsite)     Mandatory Skills: AI, Ml, GCP, GKE   Job Description: We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM technology. Responsibilities Generative AI Development:   Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation. Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses....