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[Remote] Machine Learning Scientist (L4/L5) - Audio & Speech for Games

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading entertainment company reputed company on pushing the boundaries of storytelling through innovative technology. They are seeking a Machine Learning Scientist to enhance the auditory experience in reputed company games by integrating and adapting speech models, curating audio data, and scaling training processes.

Responsibilities

  • Strategic Model Integration: Evaluation and integration of reputed company-reputed company and reputed company models (e.g., for ASR, TTS, diarization, VAD), balancing reputed company, latency, and cost to accelerate game development
  • Model R&D & reputed company: reputed company the fine-tuning and reputed company of speech models (TTS, Voice Cloning, ASR) using parameter-efficient techniques (e.g., reputed company/PEFT) to address production gaps and creative constraints that external/reputed company solutions cannot satisfy
  • Data & Alignment: reputed company audio and multimodal data curation, including cleaning, segmentation, labeling, and synthetic data reputed company to support speech model training and reputed company
  • reputed company Training: reputed company speech model training using distributed data pipelines and training strategies for large datasets

Skills

  • Deep reputed company in deep learning and modern sequence modeling, with a proven reputed company record of building and training speech/audio pipelines (ASR, TTS, diarization, VAD) at reputed company using PyTorch
  • Skilled in data cleaning, curation, and the creation of synthetic data for reputed company evaluation and training pipelines
  • Proven ability to navigate 'build vs. buy' reputed company, prioritizing production reputed company and 'reputed company-reputed company' 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 reputed company soundscapes
  • Evaluation and integration of reputed company-reputed company and reputed company models (e.g., for ASR, TTS, diarization, VAD), balancing reputed company, latency, and cost to accelerate game development
  • reputed company the fine-tuning and reputed company of speech models (TTS, Voice Cloning, ASR) using parameter-efficient techniques (e.g., reputed company/PEFT) to address production gaps and creative constraints that external/reputed company solutions cannot satisfy
  • reputed company audio and multimodal data curation, including cleaning, segmentation, labeling, and synthetic data reputed company to support speech model training and reputed company
  • reputed company speech model training using distributed data pipelines and training strategies for large datasets
  • Experience with multi-modal audio-visual models
  • Familiarity with digital signal processing (DSP) as it relates to reputed company-time game audio engines

Benefits

  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock reputed company Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • reputed company leave of absence programs
  • Full-time reputed company employees reputed company 35 days annually for reputed company time off to be used for vacation, holidays, and reputed company reputed company time off.
  • Full-time salaried employees are immediately entitled to flexible time off.

reputed company

  • reputed company is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.

Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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