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Machine Learning Engineer Intern (TikTok-Engine and Tools-3D graphics) - 2026 Start (PhD)

Yesterday San Jose, CA

Responsibilities

Join the Graphics Engine Team , where we push the boundaries of digital interaction by developing a proprietary 3D graphics engine.
Our team merges pioneering research with robust engineering to build sophisticated frameworks and mathematical models that power dynamic simulations, advanced animation, and rendering solutions, while prioritizing real-time performance.
We leverage modern machine learning technologies, to address 3D models, 3D scenes, Animation, Rendering, and to tackle challenging computer graphics problems that no conventional technique can solve. We are committed to pioneering new frontiers in technology, ensuring remains at the forefront of innovation in the industry.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Responsibilities:
- Design and implement advanced algorithms for 3D generation/editing, real-time physics simulation, character animation, geometric modeling, rendering etc.

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- Develop and integrate deep learning models that enhance speed, fidelity, or realism in physically based simulations or complex graphics workflows.
- Optimize algorithms and systems for speed and scalability across a wide range of hardware and platform targets.
- Work closely with product or other engineering teams to identify key challenges and deliver seamless, high-impact graphics solutions.
- Stay up to date with the latest research in computer graphics, physics simulation, and machine learning. Contribute to internal knowledge-sharing and may publish findings in leading conferences or journals.

Qualifications

Minimum Qualifications:
- Currently pursuing an Undergraduate/Graduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Mathematical Foundations: Strong background in linear algebra, calculus, geometry, and numerical methods.
- Computer Graphics: Solid experience in one or more of the following: neural rendering (NeRF, 3DGS, or similar), physically based simulation, animation system, AI.
- Programming Skills: Proficiency in C++ and Python. Familiarity with GPU programming (CUDA, OpenCL, or similar) is a plus, but not required.
- Machine Learning: Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and applying neural networks to graphics, simulation, or generative models is a strong plus.

Preferred Qualifications:
- Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship.
- Relevant publications in top-tier computer graphics, vision, or ML conferences/journals (e.g., SIGGRAPH, ICCV, CVPR, NeurIPS).
- A solid background in both 3D computer graphics and AI is preferred.

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

Client-provided location(s): San Jose, CA
Job ID: TikTok-7532735339883710728
Employment Type: INTERN
Posted: 2025-08-01T00:36:06

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)

Company Videos

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