Senior Research Scientist, Speech Foundation Models

ByteDance; San Jose (CA); Hybrid; USD 254,000 - 480,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short/long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

ByteDance Seed team in San Jose seeks a researcher to push speech and audio foundation models from theory to practice. You will collaborate with product and engineering teams to translate research into real-world features across ByteDance platforms.

Ideal candidates hold a Master’s/PhD in a related field with 3+ years in ML/DL areas including ASR, translation, and large-scale model training; strong C/C++ and Python skills; publications are a plus.

Qualifications

• Master's or PhD in CS/Math/Engineering or related field.
• 3+ years in ML/DL including ASR, translation, speech/audio learning and foundation models.
• Publications in ML/DL venues are preferred; strong coding skills in C/C++ and Python.

Responsibilities

• Conduct research and development in speech/audio foundation models.
• Collaborate with cross-functional teams to identify key research areas and develop innovative speech/audio models.
• Work with product teams to integrate findings into practical applications for ByteDance platforms.
• Collaborate on team projects to address complex challenges within the research group.

Skills

Machine learning

Deep learning

ASR

Speech translation

Speaker recognition

Multimodal models

LLM

C/C++

Python

TensorFlow

PyTorch

Distributed computing

Large-scale training

Education

Master's or PhD in CS/Math/Engineering

Tools

TensorFlow

PyTorch

Job description

ByteDance Seed team in San Jose seeks a researcher to push speech and audio foundation models from theory to practice. You will collaborate with product and engineering teams to translate research into real-world features across ByteDance platforms.

Ideal candidates hold a Master’s/PhD in a related field with 3+ years in ML/DL areas including ASR, translation, and large-scale model training; strong C/C++ and Python skills; publications are a plus.