Research Engineer at Netflix to apply ML expertise to design, develop, and scale personalization systems and algorithms for member experiences. This role involves creating production-ready ML solutions, optimizing models, and conducting experiments to improve key business metrics.

Machine Learning Scientist role focused on pricing science within a B2C subscription business. The role involves designing and implementing causal inference approaches and ML models to understand the impact of pricing actions on member behavior, conducting elasticity and willingness-to-pay research, and evolving measurement tools. The scientist will partner with Finance & Strategy and Product teams to translate findings into actionable business recommendations and own work from ideation to production systems.

Machine Learning Scientist role focused on ad ranking and personalization at Netflix, involving designing, implementing, and evaluating ML models and optimization algorithms on large-scale production data. The role requires strong collaboration with product teams and communication of technical results to stakeholders.

Head of Technology for a GenAI-native animation studio, responsible for the end-to-end technology stack including artist tools, production workflows, infrastructure, security, and data platforms. This role involves defining technology strategy, leading engineering teams, enabling creative ambition through AI, and scaling operations for multiple productions. Key areas include generative workflows, asset management, inference/training technologies, data pipelines for model fine-tuning, and secure AI usage.

Engineering Manager for Netflix's Search & Voice Systems team, focusing on LLM advancements for content discovery and personalization. The role involves leading a team of engineers, developing roadmaps, and driving innovation in high-traffic distributed systems for search and recommendation experiences.

Director of Product role at Netflix focused on scaling content understanding systems using AI/ML. The role involves driving product strategy, leading product managers and functional teams (operations, ratings, analysts, editorial) to automate and scale areas like ratings, content analysis, and catalog management. It requires experience with ML/AI solutions, shipping AI-powered products, and understanding of computer vision methods.

Netflix is seeking a Senior Manager for the Ads Forecasting team. This role will lead a team responsible for building and owning scalable forecasting platforms and models for ad supply, demand, and revenue. The team also develops simulators for campaign setup and ad delivery optimization. The ideal candidate will have deep domain expertise in ad forecasting and simulation, experience leading science/ML teams, and the ability to translate business objectives into analytical solutions.

Product Manager role at Netflix focused on integrating AI/ML into content platform operations and publishing tools to create personalized experiences, automate asset creation, and optimize content distribution. Requires experience with the ML lifecycle, launching AI-enabled products, and evaluating ML techniques.

Product Manager role at Netflix focused on integrating AI/ML into content platform operations and publishing tools to create personalized experiences and optimize content promotion, localization, and distribution. The role involves building strategic roadmaps, leading incubation of new AI capabilities, and translating AI advancements into scalable products.

Machine Learning Scientist to develop, optimize, and deploy scalable ML solutions for content strategy, acquisition, scheduling, and advertising at Netflix. The role involves end-to-end ML model development, from ideation to deployment and monitoring, with a focus on informing content decisions and partnering with cross-functional teams.

Software Engineer for AI for Member Systems at Netflix, focusing on designing, developing, and scaling machine learning algorithms that power the Netflix experience. This role involves collaborating with researchers and product managers to improve personalization systems, enable offline experiments, and drive the implementation of scalable, production-ready solutions for algorithms. The engineer will also contribute to better software engineering practices and systems.

Netflix is seeking a Senior Data Scientist with ML and causal inference expertise to lead analytics, data science, and strategy for core personalization algorithms. The role involves partnering with product and engineering teams to shape the personalization roadmap and evolve capabilities powered by advanced ML/AI. Responsibilities include leveraging experimentation and causal inference for insights, building robust metrics and measurement frameworks, and exploring trends in content discovery.

Manager for Netflix's Ads Identity and Signals team, focusing on developing Identity Science capabilities and extracting signals for ad optimization models. This role involves leading ML Scientists and Data Scientists to drive business use cases like ad measurement, attribution, targeting, and ad ranking/bidding systems.

Netflix is seeking Compositors to join their Inkubator team, focusing on creating animated shorts and specials using experimental GenAI-native production pipelines. The role involves integrating generative AI outputs with CG renders, 2D elements, and other sources into polished, cohesive shots using Nuke and adjacent tools. Responsibilities include collaborating with filmmakers and artists, applying compositing skills, contributing to look development, and documenting workflows. Experience with stylized animation and a familiarity with Generative AI imagery are important, with opportunities to build workflows and refine best practices for hybrid compositing.

Machine Learning Scientist role at Netflix focused on building and productionizing forecasting models for subscription revenue, ARPU, and member base. The role involves scenario modeling, contributing to the forecasting pipeline, and partnering with business leaders to translate model outputs into recommendations. Requires expertise in time series and regression methods, production systems, Python, SQL, and ML libraries.

Software Engineer 4 on the N-Tech Systems Engineering team at Netflix, responsible for developing internal solutions to streamline employee productivity and enhance the overall employee experience. The role involves designing, developing, and maintaining scalable, high-performing full-stack applications, including integrating AI and GenAI responsibly to solve enterprise problems.

Netflix is seeking a Senior Data Scientist for its Games DSE team to lead experimentation, modeling, and advanced data science initiatives. The role involves partnering with product and cloud gaming stakeholders to drive data-informed decisions by building ML models, conducting statistical analysis, and deriving business insights. The Data Scientist will also lead experiments, develop ML models to enhance player experience, and communicate insights to technical and non-technical stakeholders.

Producer for Netflix's Inkubator team, leading short-form content creation using Generative AI and emerging technologies. This role involves balancing creative ambition with production milestones, managing schedules and budgets, and guiding small teams to implement GenAI into workflows. The Producer will evaluate tools, oversee documentation of GenAI workflows, and identify opportunities for templating and automation.

Netflix is seeking a Senior Data Scientist for Infrastructure Experimentation to build and maintain ML models that predict the infrastructure cost impact of A/B experiments. This role involves partnering with engineering teams to measure, model, and surface infrastructure impact, enabling more holistic decisions that balance member impact with infrastructure performance. The ideal candidate has experience in experimentation, causal inference, and applied ML within the infrastructure domain.

Netflix is building an in-house ad tech ecosystem and is looking for an Analytics Engineer to join the Ads Ranking team. This role will focus on designing and implementing data models and pipelines, developing metrics and dashboards, analyzing data to optimize ad delivery and revenue, and enabling A/B testing. The role also involves developing monitoring solutions for ML models and experimenting with Generative AI solutions.

Netflix is seeking a Senior Data Scientist to drive foundational research in member value, focusing on causal inference and experimentation to understand member engagement with content and interaction types. The role involves developing new metrics, experimentation strategies, and measurement frameworks to guide product decision-making and influence strategy within a collaborative environment.

Netflix is seeking UI Engineers to build a Design System from the ground up for their Commerce business domain. The role involves developing React-based UI components, leveraging TypeScript/JavaScript and modern CSS frameworks. A key aspect is developing AI-driven tools to enhance development workflows and the efficiency of design system users. The role also includes strategy, roadmap definition, and collaboration with design and product teams to drive adoption across web and TV platforms.

Senior Data Scientist (L6) at Netflix Games Portfolio Team, focusing on technical leadership for forecasting, metrics, audience insights, and transmedia research. The role involves developing and operating forecasting models, empowering the team, mentoring, and acting as a strategic partner to leadership. Requires expertise in statistical modeling, causal inference, time series analysis, and applied ML, with experience in building and deploying models at scale.

Netflix is seeking a Data Scientist to join the Merchandising and Content Understanding team. This role will focus on developing content understanding signals across all formats and improving the discovery experience on their service. The Data Scientist will act as a strategic partner, define and execute roadmaps for measuring impact and improving member experience using Causal Inference and Machine Learning, and partner with other leaders to refine and scale Causal Inference model-based systems. The role requires a proven track record in Experimentation and Causal Inference methods, proficiency in Python, SQL, and common Causal Inference frameworks, and 4+ years of relevant experience.