Top AI & Machine Learning Jobs in San Francisco, CA

Build and evolve internal AI platforms, APIs, SDKs, guardrails, and shared services that enable safe, observable, cost-efficient LLM applications. Prototype and productionize AI capabilities, establish evaluation and governance practices, and standardize development patterns across the company. Partner with Platform Engineering, Security, Risk, Legal, Product, and Operations while participating in an on-call rotation.

Designs and operates scalable machine learning and AI infrastructure on AWS, supporting training, inference, feature pipelines, LLM and agentic workloads, evaluation, observability, governance, and developer tooling. Builds distributed processing, streaming, infrastructure-as-code, and CI/CD systems while partnering with data science and ML engineering teams. Requires production experience with distributed systems, ML platforms, LLM application patterns, cloud infrastructure, containers, orchestration, and software engineering fundamentals.

Measure and optimize organic growth across SEO, ASO, and content. Build forecasting, attribution, incrementality, and opportunity-sizing models; analyze experiments and platform data; create dashboards; improve data pipelines; and translate findings into recommendations for cross-functional leadership.

Lead and grow an engineering team building Jade, Chime's AI-powered assistant. Drive technical direction for LLM-powered member-facing features, ensure reliability, safety, and scalability, collaborate with product/design/data/risk, maintain on-call and observability practices, and coach engineers on delivery and career growth.

Build and scale Jade, Chime’s AI-powered financial assistant. Design agent architectures, prompt strategies, orchestration patterns, evaluation frameworks, observability, and guardrails. Develop member-facing financial capabilities alongside internal tools, dashboards, routing services, prompt-management systems, and evaluation pipelines. Improve reliability and performance, maintain high code quality, collaborate cross-functionally, conduct code reviews, mentor engineers, and identify opportunities to improve AI product quality and scalability.

Design and ship member-facing LLM-powered features for Jade, set technical direction for agent architectures, build evals/guardrails/observability, harden backend services (model routing, prompt management), partner cross-functionally, mentor engineers, and participate in on-call rotation.

Measure and optimize referral-channel investment through campaign sizing, forecasting, attribution, incrementality testing, dashboards, and LTV analysis. The role partners with Referrals, Marketing, Product, Finance, Data Engineering, and leadership to estimate spend and acquisition outcomes, evaluate causal impact using geo experiments and holdouts, improve tracking and data quality, and translate complex analyses into actionable recommendations.

Partner with Growth Product and Engineering to own funnels end-to-end, design and analyze A/B tests, build metrics and dbt data pipelines, apply causal inference and ML, enable self-service analytics, improve eventing, and translate analyses into executive-ready recommendations to drive acquisition, conversion, and retention.

Posting contains company overview, culture, benefits, and hybrid work policy. No specific responsibilities, technical requirements, or deliverables were listed for the Senior Data Scientist, Membership role.

Lead the AI & App Experience engineering org building Chime's LLM-powered member experiences and AI platform. Set multi-quarter strategy, drive technical and architectural direction, hire and develop engineering leaders, partner with Product/Design/Data Science/Risk, ensure operational excellence (on-call, monitoring, incident response), and represent the org in executive forums to deliver scalable, AI-native consumer products.