Top AI & Machine Learning Jobs in San Francisco, CA

Partner with Strategic Finance on Spending products to build scalable analytics infrastructure, semantic layers, and AI-assisted workflows. Define roadmap, design experiments and causal analyses, apply ML to business problems, deliver executive-level data storytelling, and mentor other analysts while enabling Finance self-service analytics.

Own measurement frameworks and strategic analyses for Chime's app and AI experiences. Define metrics and methodology, run deep-dive analyses and experiments, build durable dbt data models with SQL, partner with senior product/design/engineering leaders, raise methodological standards, and mentor data scientists to drive measurable product and business impact.

Partner with Lending Product, Engineering, Risk, and Finance to drive product decisions using experimentation, causal inference, forecasting, and occasional ML. Own funnels end-to-end, design and analyze A/B tests, build self-service analytics and dashboards, improve event tracking, and translate findings into executive recommendations to balance growth, member value, and risk.

Design, train, deploy, and monitor large-scale sequential and deep learning models (including transformers) to personalize growth and marketing experiences using financial and behavioral data. Collaborate with Growth, Product, and Engineering to build scalable ML infrastructure, experimentation frameworks, and production MLOps for real-time and batch systems that improve member engagement.

Partner with Growth Product and Engineering to own funnels end-to-end, design and analyze A/B tests, run causal and forecasting analyses, build dashboards and self-serve analytics, improve eventing and data pipelines, and translate insights into prioritized product recommendations that drive acquisition, activation, retention, and long-term member value.

As a Machine Learning Platform Engineer, you will design and build scalable systems for model training, feature computation, and real-time inference, ensuring reliability and efficiency for ML teams.

The Lead Software Engineer will develop and support Chime's ML platform, focusing on infrastructure for ML model deployment, observability, and collaboration across teams.

Lead a data science team to develop machine learning models for credit risk solutions, enhancing user experiences and promoting financial inclusivity.

The Senior Machine Learning Engineer will design and implement AI/ML solutions, analyze datasets, and communicate insights while collaborating with diverse partners.

As a Data Science Intern, you will assist in designing, training, and deploying machine learning models, collaborating with cross-functional teams and gaining experience in fintech solutions.