Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Build and operate Tier-0 Pricing, Catalog, and Offers services powering Netflix commerce for 330M members. Design and implement product-facing features and platform infrastructure, solve distributed systems problems (consistency, race conditions, throughput), partner cross-functionally, and own production reliability including on-call incident response.

Lead and grow a data science team focused on consumer acquisition, signup flows, login, and partner bundles. Drive analytics, experimentation, causal inference, and machine learning to inform strategy, run A/B tests, scale insights, and deliver measurable business impact across cross-functional partners.

Design, build, and own large-scale batch and streaming data pipelines and core Ads data products. Collaborate with analytics, data science, and engineering teams to model, transform, govern, and deliver high-quality ad datasets for analysis, ML, and reporting while ensuring privacy compliance.

Build scalable, privacy-focused data frameworks and ETL pipelines using big-data technologies (Spark, Presto, Flink, Kafka, Hive). Ensure appropriate handling of personal data, support privacy and legal needs, partner cross-functionally, and lead system design while mentoring teammates.

Lead creative vision and player experience across a portfolio of Netflix Games from concept through live operations. Collaborate with cross-functional teams to prototype, scale into production, launch, and iterate. Establish creative goals, give actionable feedback, and foster experimentation and craft excellence to deliver memorable, retention-focused games.

Design cinematic, content-forward product experiences across TV, mobile, and web. Create high-fidelity prototypes, visual systems, and brand assets; collaborate with motion, audio, product, engineering, and research to ship scalable, story-driven UX that meets business goals.

Build and maintain data pipelines, metrics, and dashboards to quantify consumer product security risk. Perform hands-on analytics into device and authentication signals, shape risk measurement strategy, partner with product and security teams, and influence leadership reporting. Drive a unified, scalable data foundation that enables cross-team alignment and proactive risk detection.

Build reliable, scalable data pipelines and data products to surface security, fraud, and infrastructure risks. Use big-data technologies (Spark, Presto, Flink, Kafka) and advanced SQL to ETL, model, maintain datasets, and enable analytics for security teams. Partner cross-functionally and lead complex system design and implementation.

Build and maintain scalable data pipelines and data products to enable security and fraud detection. Implement ETL, data models, and distributed processing (Spark/Presto/Flink/Kafka) to centralize signals, support analytics and machine learning, and partner with security teams to improve detection and mitigation of fraud and account compromise.