Machine Learning Engineer Intern (TikTok-Engine and Tools-3D graphics) - 2026 Start (PhD) job opportunity at Tiktok.

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Tiktok Machine Learning Engineer Intern (TikTok-Engine and Tools-3D graphics) - 2026 Start (PhD)
Experience: 1-year
Pattern: full-time
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Multimedia Team

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degreeBachelor's (B.Sc.)
loacation SAN JOSE, CA, United States Of America
loacation SAN JOSE, CA....United States Of America

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. 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.

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