Netflix

Machine Learning Scientist L4/L5 – Audio & Speech for Games

Netflix

full-time

Posted on:

Location Type: Remote

Location: California • United States

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Job Level

Junior

Tech Stack

JavaPythonPyTorch

About the role

  • 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.

Requirements

  • Speech & Audio Research Expertise: Deep foundation in deep learning and modern sequence modeling, with a proven track record of building and training speech/audio pipelines (ASR, TTS, diarization, VAD) at scale using PyTorch.
  • Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.
  • Pragmatic Innovator: Proven ability to navigate "build vs. buy" decisions, prioritizing production impact and "Netflix-quality" bars.
  • Programming: Expert proficiency in Python; experience with C++ or Java.
  • Creative Mindset: Passionate about using technology to solve creative challenges in game design, such as procedural storytelling or immersive soundscapes.
Benefits
  • Health Plans
  • Mental Health support
  • 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 including vacation, holidays, and sick paid time off
  • Full-time salaried employees are immediately entitled to flexible time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ASRTTSdiarizationVADdeep learningsequence modelingPyTorchdata cleaningdata curationsynthetic data generation
Soft Skills
pragmatic innovatordata-centric mindsetcreative mindset