Outscal Technologies - Washington, DC

posted 11 days ago

Full-time - Intern
Washington, DC

About the position

The Lead Research Scientist position at ByteDance focuses on advancing research in speech and audio technologies, contributing to the development of innovative products that impact billions of users. The role requires a strong background in deep learning and machine learning, with a proven track record in research and publications in top AI conferences. The successful candidate will collaborate with global teams to enhance audio processing and generation capabilities, driving technological progress within the company.

Responsibilities

  • Contribute cutting-edge research to ByteDance product evolution (e.g., Helo, CapCut) to impact billions of users worldwide.
  • Lead research to advance science and technology in audio processing and generation (e.g., Speech Synthesis, Voice Conversion, Audio Codec Learning, Audio Language Modeling, etc.).
  • Research, model, design, develop and evaluate novel machine learning models and algorithms.
  • Collaborate with globally based researchers and engineering teams in developing machine learning models and algorithms.

Requirements

  • M.S. or Ph.D. in computer science, machine learning, or similar fields.
  • At least five years of relevant industry or research experience.
  • Good knowledge of theoretical and empirical research in addressing research problems.
  • Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.
  • Good presentation and communication skills.
  • Experience in both neural and non-neural, classical machine learning models and algorithms.

Nice-to-haves

  • Expertise in one or more of the following fields: speech synthesis or recognition, natural language processing, computer vision, generative models.
  • Strong first-author publications record in top AI conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICASSP).
  • Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.
  • Work or internship experience in an AI research organization.

Benefits

  • 401(k) matching
  • AD&D insurance
  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Flexible spending account
  • Health insurance
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