Top Machine Learning Engineer Jobs in San Francisco, CA

As a Staff Machine Learning Engineer, you will explore machine learning techniques, develop scalable systems, mentor junior engineers, and collaborate on strategic projects to enhance AI adoption at Coinbase.

Own numerical analysis and observability for compressed and optimized AI models used in autonomous vehicles. Develop parity validation, sensitivity and robustness tooling, connect numerical differences to driving behavior, diagnose training instabilities, and build efficient diagnostics for distributed training. The role requires strong numerical analysis, neural network training, PyTorch, Python, and production engineering judgment.

Build and optimize scalable analytics frameworks and tooling to accelerate autonomous vehicle development, testing, and deployment. Implement automation for test creation, data collection, and performance monitoring; create extensible C++/Python shared libraries; collaborate with simulation, data infra, and AV engineering to enable rapid model feedback and maintain high code quality.

Join Notion as a new-grad software engineer focused on AI-powered features. Prototype and ship model-driven product improvements, integrate and productionize models, build monitoring and guardrails, and contribute to evaluation frameworks and experiments to improve model and product quality.

Lead a team of machine learning engineers to develop vertical ads products, enhance ad experiences, mentor staff, and uphold coding standards.

Lead advanced analytics and ML initiatives for power and renewables products. Align data strategy with product goals, assess business impact, oversee data governance and infrastructure, provide thought leadership, and mentor analytics team while collaborating cross-functionally to deliver measurable customer value.

Design, build, and operate an AI-powered customer engagement platform that personalizes outreach using product telemetry and business data. Create predictive customer scoring models, segment cohorts, integrate CRM/marketing/analytics systems, automate offer triggers, measure program effectiveness, and iterate quickly with Retool and AI tools to drive retention and expansion.

Design, build, and operate an AI-powered customer engagement platform that uses telemetry and business data to personalize outreach, create customer scoring models, segment cohorts, surface offers, integrate CRM/marketing/product analytics, and measure and iterate on program effectiveness.

Design, build, and operate an AI-powered customer engagement platform that uses product telemetry and business data to generate personalized outreach, build and backtest predictive scoring models, identify cohorts and trigger targeted offers, integrate CRM/marketing/product analytics, measure program effectiveness, and iterate quickly using Retool prototypes to drive retention and expansion.

Join the IT AI Automation team to build and harden micro-apps and AI integrations on a governed GCP platform. Contribute to bug fixes, small features, code and design reviews, apply foundational security and software practices, monitor applications, and use AI tools to support development, testing, and documentation while learning from senior engineers.