Top Tech Jobs & Startup Jobs

Build and optimize infrastructure for Netflix’s machine learning and AI systems, including distributed training, offline and post-training platforms, GPU-optimized inference, and serving. Collaborate with modeling teams on model-system codesign and solve large-scale infrastructure challenges. The internship lasts at least 12 weeks and is intended for PhD students returning to school afterward.

Lead the strategic direction and evolution of Netflix’s company-wide Experimentation Platform. Establish rigorous causal inference and experimentation standards, automate trust and validation practices, consolidate fragmented systems, shape platform product roadmaps, and collaborate with data science and engineering leaders. Translate experimentation needs into scalable tools, influence adoption across teams, mentor colleagues, and ensure reliable experiment allocation, measurement, analysis, and reporting.

Audit complex title setups, validate data, troubleshoot escalations, maintain dashboards and SLAs, create workflow documentation, and manage high-volume operational tasks to ensure successful content launches.

Leads and builds INK’s production finance function, overseeing budgeting, estimated final costs, cost reporting, cash flow, reconciliations, production incentives, systems, and financial processes. Partners with senior creative, business, technology, and production leaders, coordinates with corporate finance teams, establishes scalable infrastructure, and builds a high-performing team. The role also advises leadership, manages financial risks, evaluates tools, and supports related corporate operations.

Develop long-range capacity forecasts and translate demand signals (bandwidth, storage, network) into actionable capacity plans. Run scenario and what-if analyses, monitor infrastructure performance, coordinate deployments, build modeling and automation tools, manage capacity risks, and collaborate cross-functionally to inform investment and scaling decisions for Open Connect Studio Infrastructure.

Build full-stack features and infrastructure analytics products to improve Netflix's cloud and AI efficiency. Design frontends (React/TypeScript), backend services/APIs (GraphQL/Node), shape data models, collaborate with analytics and data engineers, and own product direction from design through implementation.

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Design, build, and maintain end-to-end ads inventory forecasting, underwriting, and simulation systems. Work with large-scale data and distributed systems (low-latency, high-throughput), productionize ML models and optimization algorithms, collaborate with cross-functional teams, and enable forecasting and simulation use cases for Sales, Pricing, and Science stakeholders.

Build and operate scalable ML-powered advertising measurement platforms (Brand Lift, Incrementality, Attribution). Develop distributed data processing systems, productionize models, collaborate with data scientists, and implement backend services and data pipelines to deliver privacy-safe, scientifically rigorous ad measurement.

Partner with Nordics leadership to translate business goals into people strategies. Drive talent management, succession planning, org design, inclusion initiatives, and leadership coaching. Manage employee relations, performance, terminations, and leaves in compliance with local laws. Collaborate with global HR practices to deliver consistent regional HR programs.