Research Scientist at Netflix focused on developing and deploying AI/ML solutions for content promotion and discovery. The role involves end-to-end development, including model training, evaluation, and productization of vision-language and multimodal LLM systems, with a focus on advancing the state of the art and enhancing member experience.

Research Scientist role at Netflix focused on applied AI/ML for member systems, including personalization, recommendations, and search. The role involves driving applied research, conceptualizing and implementing algorithmic solutions, and developing production-ready systems using state-of-the-art techniques like LLM pretraining and fine-tuning.

Software Engineer 5 on the Model Runtime team at Netflix, focusing on building and optimizing infrastructure for training, alignment (RLHF, DPO, PPO), and serving of ML models, including multimodal and diffusion models. The role involves deep systems programming, distributed training at scale, and performance tuning across the full stack, from PyTorch to GPU kernels.

Research Scientist at Netflix focused on content understanding and merchandising. The role involves designing and developing models, conducting quality evaluations for algorithms, and applying ML/Gen AI to video, audio, and textual data. The goal is to improve content metadata and the discovery experience for members.

Research Scientist role focused on signal privacy for Netflix's ad-supported tier, involving machine learning, statistical modeling, and data analysis with a strong emphasis on privacy-enhancing technologies in ad targeting, ranking, and optimization.

Netflix is seeking CG Experimental Artists to join their pioneering team creating animated shorts and specials using experimental GenAI-native production pipelines. This role will support show-specific workflow and technical needs, shape storytelling and visual aesthetics, and develop new workflows and technologies. Responsibilities include using GenAI tools for concept generation, creating shot-ready assets, building and fine-tuning generative models, and testing/documenting generative tools and workflows.

Netflix is seeking Technical Directors for its Inkubator team to create animated shorts and specials using experimental, creative-led, GenAI-native production pipelines. The role involves supporting show-specific workflows, strategizing with artists to develop creative solutions, providing tool support, documenting training materials, and beta testing new tools. A key responsibility is identifying and performing custom fine-tuning for models based on show requirements, integrating both internal and external tooling. The role also involves monitoring artist pain points, troubleshooting data handoffs, evaluating new tool releases, identifying standardization opportunities, and collaborating on compute and workstation requirements.

Engineering Manager for Core Applications AI team at Netflix, focusing on building foundational AI capabilities for member systems, including reward models, entity libraries, LLM post-training frameworks, and utility optimization. The role involves leading a team, setting vision, designing APIs, and partnering with other teams to ensure adoption and integration of shared components.