Netflix Games · Los Gatos
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This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.\n\n# The Role\n\nWe are seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-modal foundations and solutions for games. This role is defined by a mandate for inference efficiency; you will not only build and fine-tune state-of-the-art models but also lead the algorithmic innovation required to make them viable in terms of cost, latency, and quality across a variety of cloud and edge devices.\n\nYou will work in close partnership with our Machine Learning Engineers to bridge the gap between \"research-grade\" models and high-performance deployment, with your focus being on algorithmic optimization\u2014ensuring that our language, visual, and audio models are architecturally optimized for real-time interaction and efficiency.\n\n## Responsibilities\n\n * Model Adaptation \u0026 Alignment: Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch, leveraging modern preference learning and reinforcement learning to enhance reasoning, tool-use, and agentic workflows for interactive game systems.\n\n * Algorithmic Model Optimization: Lead efforts in model compression\u2014specifically knowledge distillation, structural pruning, and architectural refinement\u2014to create efficient variants of large models that meet strict latency, cost, and quality constraints.\n\n * Speech Interaction: Adapt, optimize, and integrate speech (ASR/TTS) models with language models to enable low-latency, cross-modal reasoning.\n\n * Generative Visuals \u0026 Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation.\n\n * Pragmatic Model Integration: Strategically evaluate and integrate SOTA open-source and commercial models while building internal \"layers,\" adapters, and enhancements to fill gaps in creative control.\n\n\n\n\n## About You (Requirements)\n\n * Multi-modal Architecture Expertise: Strong foundation in deep learning architectures, with deep expertise in Transformers and Diffusion architectures powering LLMs, VLMs, and generative visuals, including their specific performance bottlenecks.\n\n * Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint.\n\n * Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.\n\n * Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R\u0026D to solve efficiency or quality problems.\n\n * Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints.\n\n\n\n\n## Bonus Experience\n\n * Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices).\n\n * Expertise in audio-visual multimodal models and video generation.\n\n\n\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.\n\nNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. \n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\n\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. 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Machine Learning Scientist 5 - GenAI for Games | Los Gatos,California,United States of America | Netflix
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}, { value : es , title : Espa\u00f1ol }, { value : fr , title : Fran\u00e7ais }, { value : pt , title : Portugu\u00eas }, { value : nb , title : Norsk }, { value : de , title : Deutsch }, { value : ja , title : \u65e5\u672c\u8a9e }, { value : ms , title : Bahasa melayu }, { value : zh-CN , title : \u4e2d\u6587 (\u7b80\u4f53) }, { value : zh-TW , title : \u4e2d\u6587 (\u7e41\u9ad4) }, { value : ko , title : \ud55c\uad6d\uc5b4 }, { value : th , title : \u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22 }, { value : nl , title : Nederlands }, { value : pl , title : Polski }, { value : uk , title : Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430 }, { value : hr , title : Hrvatski }, { value : el , title : \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac }, { value : hu , title : Magyar }, { value : cs , title : \u010de\u0161tina }, { value : tr , title : T\u00fcrk\u00e7e }, { value : ru , title : P\u0443\u0441\u0441\u043a\u0438\u0439 }, { value : ht , title : Haitian }, { value : he , 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location : Los Gatos,California,United States of America , city : Los Gatos , state : CA,US , country : US }, { location : Los Angeles,California,United States of America , city : Los Angeles , state : CA,US , country : US }]}
{ display_banner : false, display_text : }
@media screen and (max-width:700px){.links{justify-content: center !important;flex-wrap: wrap !important;}.logo{width: 100% !important;display: flex !important;justify-content: center !important; position:sticky!important;}}
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