Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead a team of senior data scientists and analytics/experimentation engineers to partner with engineering, scale insights, innovate metrics and experimentation, and apply statistics and analytics to improve Netflix streaming product and member experience.

Conduct and productize cutting-edge multilingual live caption and translation research. Build and integrate ML/DL models, partner cross-functionally, act as domain expert, and present research across the company to drive localization impact.

Partner with Product Discovery & Promotion to build scalable analytics for Live content and new formats: develop metrics, analyses, dashboards, and data models; source data with data engineers; and act as a thought partner driving analytic solutions and stakeholder decision-making.

Lead design and execution of a modernized, Python-native AI/ML platform for AIMS: define architecture, drive migration, build migration tooling, ensure scalability, observability, cost optimization, and reliability, prototype GenAI operational tooling, and set org-wide technical standards.

Design, implement, and maintain high-performance cloud gaming software stacks across the application pipeline, including hardware-accelerated video/audio/data processing, media encoding/decoding, graphics APIs, and network transport. Optimize local and end-to-end system performance, work across complex codebases and hardware platforms, collaborate across teams, and take ownership from conception to production.

Lead the end-to-end cloud gaming product for connected TVs, own the mobile-as-controller roadmap, bridge viewing and playing experiences, optimize QoE (latency, input lag, video fidelity), design 10-foot UI flows, and coordinate cross-functional execution with game studios, platform and mobile engineering, and data science.

Build and operate scalable, highly available ML/LLM serving and compute infrastructure. Own long-term platform vision, deliver zero-to-one projects, partner cross-functionally, optimize performance and capacity, and support production ML models at scale.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

Design, develop, and scale software systems for machine learning algorithms powering personalization. Collaborate with researchers and product teams to implement production-ready, distributed solutions, enable offline experiments and A/B tests, and improve engineering practices and systems across teams.