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

Remote Full-time
Job Description:
• 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

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