Research Scientist Graduate (Foundation Model-Speech-Interaction & Learning) - 2026 Start (PhD)

ByteDance

$254K — $480K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Engineering, Physics, Mathematics, or related field required.
  • Strong theoretical and empirical research background.
  • Experience with deep learning frameworks like PyTorch or TensorFlow.
  • Knowledge of deep neural networks and classical machine learning algorithms.
  • Preferably published as first-author in major conferences (e.g., NeurIPS, ICML).
  • Proficiency in C/C++, Python, and shell programming.

Responsibilities

  • Advance product evolution in audio technology for global applications.
  • Engage in sophisticated audio processing research, including speech synthesis and dialogue systems.
  • Develop and evaluate innovative machine learning models and algorithms.
  • Collaborate with international teams to drive machine learning initiatives.

Benefits

  • Day one access to medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave and disability coverage.
  • 10 paid holidays and 10 paid sick days annually.
  • 17 days of Paid Personal Time with increasing accrual based on tenure.
Full Job Description
Responsibilities - Contribute cutting-edge research to ByteDance product evolution (e.g., Douyin, Capcut, and more) to impact billions of users worldwide. - Work on advanced science and technology in audio processing and generation (e.g., Dialogue Systems, Audio-Video Models, 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. Qualification Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. - 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 - Experience in both neural and non-neural, classical machine learning models and algorithms Preferred Qualifications - Research experience in one or more of the following fields: speech synthesis, audio generation, large language model, computer vision, generative models - Strong first-author publications at accredited conferences such as(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.) - Proficient in C / C + +, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $254400 - $480000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Similar Jobs

More Jobs at ByteDance

More Information Technology Jobs

Find similar Research Scientist Graduate (Foundation Model-Speech-Interaction & Learning) - 2026 Start (PhD) jobs: