Top Tech Jobs & Startup Jobs in Chicago, IL

Lead a small, high-velocity engineering team to build GenAI sandboxes, agentic systems, and internal demos. Provide hands-on technical leadership, rapid prototyping, tooling (UIs/APIs), and collaborate with foundation model and platform teams to enable safe, scalable consumption of Member LLMs.

The Software Engineer will design, build, and ship consumer-facing features, enhance UI performance, and collaborate with cross-functional teams to improve Netflix's TV applications.

Build and maintain core Android infrastructure and frameworks, advocate best practices, optimize codebase, and enhance developer experience for high-impact software at Netflix.

The Software Engineer will build production data systems for personalization, manage large-scale datasets, and collaborate with algorithm teams for innovation.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

Design and implement maintainable, high-performance Android client architecture and developer frameworks. Drive best practices, write automated tests, mentor engineers, collaborate cross-functionally, and lead technical initiatives impacting Netflix's Android app at scale.

Own strategy and execution for Netflix's Experimentation Platform to simplify experiment design, launch, allocation, safety guardrails, APIs, and analysis. Partner with engineering, data science, and product teams to drive self-serve adoption, enable cross-test learning, extend to model evaluation and canaries, and measure platform impact through data-driven metrics and governance.

The role involves developing scalable solutions using cloud-native technologies, focusing on cloud networking, writing efficient code, and enhancing network infrastructure at Netflix.

The Data Engineer will build and scale data systems, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to utilize entertainment data effectively.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.