Machine Learning Research Scientist/Engineer, Audio

Scale partners with leading AI labs to accelerate progress in frontier generative AI, focusing on AI model development and deployment.
$200,000 - $325,000
Machine Learning
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
AI

Description For Machine Learning Research Scientist/Engineer, Audio

Scale AI is at the forefront of advancing generative AI technology, particularly in the audio and speech domain. This senior-level position offers an exciting opportunity to work on cutting-edge speech technology, including text-to-speech (TTS), speech-to-speech (STS), and automatic speech recognition (ASR) systems.

The role combines research and engineering expertise, focusing on developing and implementing novel algorithms for large-scale audio models. You'll be working with world-class researchers and directly contributing to the development of next-generation foundation models in audio. The position offers collaboration opportunities with top AI labs and the chance to publish research findings.

The compensation package is highly competitive, ranging from $200,000 to $325,000 USD, plus equity and comprehensive benefits. The role is based in major tech hubs (San Francisco, Seattle, or New York), providing access to vibrant tech communities and resources.

Scale AI's impressive client roster includes industry leaders like OpenAI, Meta, Microsoft, and government agencies, offering exposure to diverse and impactful projects. The company maintains a strong commitment to diversity and inclusion, ensuring a welcoming environment for all employees.

This position is ideal for candidates with advanced degrees and deep expertise in audio AI who want to shape the future of human-AI communication. You'll have the opportunity to work on challenging technical problems while contributing to the broader research community through publications and conference presentations.

The role offers a unique blend of academic research and practical implementation, with access to large-scale computing resources and datasets. You'll be part of a team that's directly influencing the development of AI technology that will impact millions of users worldwide.

Last updated a day ago

Responsibilities For Machine Learning Research Scientist/Engineer, Audio

  • Develop novel training and post-training techniques for audio models
  • Design new reward models and preference optimization techniques
  • Investigate model failure modes in realistic deployment settings
  • Create industry-standard evaluations for speech models
  • Publish breakthrough research at leading conferences

Requirements For Machine Learning Research Scientist/Engineer, Audio

  • Ph.D. or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or related field
  • Deep understanding of neural generative models for audio
  • Experience with fine-tuning, reinforcement learning, or reward modeling
  • Strong research portfolio with publications at top venues
  • Exceptional written and verbal communication skills
  • Prior experience with model training, data curation, or evaluation at scale (plus)

Benefits For Machine Learning Research Scientist/Engineer, Audio

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Commuter Benefits
Equity
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend (eligible positions)
  • Equity compensation (subject to Board approval)

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