5 machine learning jobs found in San Francisco, CA

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...

  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...

Manager, Risk Workforce Management & Analytics San Jose, California, United States   Make your impact within a rapidly growing Fintech Company As the Manager of Workforce Management (WFM) in Risk Management, you will play a pivotal role in building and scaling a WFM function that supports Risk Operations, Collections, and Credit Underwriting. This is not a traditional WFM role—our goal is to transition from manual processes to automated, data-driven solutions that enable proactive workforce planning and operational efficiency. This is a highly technical WFM role that requires expertise in ETL, automation, data engineering, and analytics. You will act as a thought partner to strategize and execute solutions that balance SLAs, quality, and cost while supporting a dynamic and growing operational model. This role will require a deep understanding of data, automation, and process improvement, as well as the ability to...

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....