Netflix · 1 day ago
Machine Learning Scientist (L4/L5) - Audio & Speech for Games
Los Angeles, CA
Full-time
Onsite
Mid, Senior Level
$466K/yr - $750K/yrNetflix is on a mission to entertain the world and is seeking a Machine Learning Scientist to enhance the auditory experience in its games. This role involves integrating and adapting speech models, curating data, and scaling training processes to deliver high-quality audio in gaming.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Strategic Model Integration: Evaluation and integration of open-source and commercial models (e.g., for ASR, TTS, diarization, VAD), balancing quality, latency, and cost to accelerate game development
Model R&D & Adaptation: Lead the fine-tuning and adaptation of speech models (TTS, Voice Cloning, ASR) using parameter-efficient techniques (e.g., LoRA/PEFT) to address production gaps and creative constraints that external/commercial solutions cannot satisfy
Data & Alignment: Lead audio and multimodal data curation, including cleaning, segmentation, labeling, and synthetic data generation to support speech model training and adaptation
Scalable Training: Scale speech model training using distributed data pipelines and training strategies for large datasets
Qualification
Required
Deep foundation in deep learning and modern sequence modeling
Proven track record of building and training speech/audio pipelines (ASR, TTS, diarization, VAD) at scale using PyTorch
Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines
Proven ability to navigate 'build vs. buy' decisions, prioritizing production impact and 'Netflix-quality' bars
Expert proficiency in Python
Experience with C++ or Java
Passionate about using technology to solve creative challenges in game design, such as procedural storytelling or immersive soundscapes
Preferred
Experience with multi-modal audio-visual models
Familiarity with digital signal processing (DSP) as it relates to real-time game audio engines
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
2026-01-24
The Hollywood Reporter
2026-01-24
Company data provided by crunchbase