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Audio Algorithm Researcher Graduate (Immersive Intelligent) - 2027 Start (PhD)

1 month ago Sydney, Australia

Responsibilities

Team Introduction
Welcome to the Audio Innovation team under TikTok's most pioneering research team - Multimedia Lab! We are dedicated to pushing the boundaries of immersive audio technology and standardization. In addition to supporting TikTok requirements including short video, live-streaming, content creation tools and also VR/AR experiences, we also stay up-to-date with the latest research in the industry and participate in audio Standards Developing Organizations(SDO) such as MPEG, 3GPP, and IETF, etc. As part of our commitment to innovation, we proactively conduct R&D using Machine Learning and NN models(especially generative models) for immersive audio technology. If you're looking to work with a team that values creativity, innovation, and collaboration, we'd love to hear from you. Please join us to reshape the audio world together.

Responsibilities:
- Research and implement the department's self-developed next-generation intelligent audio understanding and processing algorithm system.
- Implement and optimize intelligent audio codec and processing system, responsible for application iteration in short Video On Demand, LIVE, VR/MR and other business scenarios.
- Follow up and participate in domestic and international audio standards, write high-quality standard technical proposals, and promote domestic and international intelligent audio standard work.

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Masters' degree (Research) in or above majors in electronic information, computer, multimedia, Machine Learning, AI artificial intelligence.
- Research experience in one or several fields such as GAN/Diffusion audio processing, voiceprint/wake-up, sound event detection, automatic speech recognition, Natural Language Processing, etc.
- Familiar with data structures and algorithms, deep network model design and tuning, proficient in open source tools such as Kaldi, TensorFlow, Pytorch, etc., and experience in model training and exploration of large-scale training datasets is preferred.

Preferred Qualifications:
- PhD degree majors in related majors such as electronic information, computer, multimedia, Machine Learning, AI artificial intelligence.
- Hands-on experience in Machine Learning/Artificial Intelligence/Data Processing areas.
- Priority will be given to those who have published papers in relevant international conferences or mainstream journals (ICASSP, Interspeech, ASRU, ICML, NeurIPS, AAAAI, etc.)

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

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Client-provided location(s): Sydney, Australia
Job ID: TikTok-7658155131456473349
Employment Type: OTHER
Posted: 2026-07-08T20:20:01

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Company Equity
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Mentor Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

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