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

Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company focused on pushing the boundaries of storytelling through innovative technology. They are seeking a Machine Learning Scientist to enhance the auditory experience in Netflix games by integrating and adapting speech models, curating audio data, and scaling training processes. 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 Skills • 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 • 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 • 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 • 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 • Lead audio and multimodal data curation, including cleaning, segmentation, labeling, and synthetic data generation to support speech model training and adaptation • Scale 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 real-time game audio engines 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 to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off. Company Overview • Netflix 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.netflix.com. Company H1B Sponsorship • Netflix has a track 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. Apply tot his job Apply To this Job