Netflix · 3 hours ago
Machine Learning Scientist (L4/L5) - Multi-modal Algorithms for Games
Los Angeles, CA
Full-time
Onsite
Senior Level
$466K/yr - $750K/yrNetflix is a leading entertainment company focused on pushing the boundaries of storytelling through innovative technology. They are seeking a Machine Learning Scientist to lead the research and development of advanced models for games, focusing on algorithmic optimization and real-time interaction across various devices.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Model Adaptation & 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
Algorithmic Model Optimization: Lead efforts in model compression—specifically knowledge distillation, structural pruning, and architectural refinement—to create efficient variants of large models that meet strict latency, cost, and quality constraints
Generative Visuals & Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation, including distillation and efficiency techniques for viable game-time performance
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
Multi-modal Interaction: Optimize and integrate audio (ASR/TTS), language, and vision models to enable low-latency, cross-modal reasoning and interaction
Qualification
Required
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
Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint
Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines
Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R&D to solve efficiency or quality problems
Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints
Preferred
Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices)
Expertise in audio-visual multimodal models and video generation
Benefits
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
Life and Serious Injury Benefits
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
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
Founded in 1997
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$72.11BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $67.2B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2026-02-05
Company data provided by crunchbase