Machine Learning Engineer Intern (TikTok-Engine and Tools-3D graphics) - 2026 St
TikTok, San Jose, CA, United States
Internship Overview
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 we remain 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.
Application Details
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.
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 (., 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 (., 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 : / / / legal / privacy
#J-18808-Ljbffr
In Summary: TikTok is looking for talented individuals to join us for an internship in 2026 . The Graphics Engine Team is developing a proprietary 3D graphics engine . The team merges pioneering research with robust engineering to build sophisticated frameworks and mathematical models that power dynamic simulations, advanced animation, and rendering solutions .
En Español: Unirse al equipo de ingenieros gráficos , donde empujamos los límites de la interacción digital mediante el desarrollo de un motor gráfico 3D patentado. Nuestro equipo fusiona investigaciones pioneras con una ingeniería robusta para construir marcos y modelos matemáticos sofisticados que impulsen simulaciones dinámicas, animación avanzada y soluciones de rendimiento, dando prioridad a las prestaciones en tiempo real. Aprovechamos tecnologías modernas de aprendizaje automático para abordar modelos 3D, escenas 3D , animación, renderización y hacer frente a desafíos problemas de grafía informática que ninguna técnica convencional puede resolver. Estamos comprometidos a ser pioneros en nuevas fronteras tecnológicas, asegurándonos de permanecer a la vanguardia de la innovación en la industria. Buscamos individuos talentosos que se unan a nosotros para realizar una pasantía en 2026. Por favor, indique claramente su disponibilidad en su currículum (fecha de inicio y fecha final). Responsabilidades Diseñar e implementar algoritmos avanzados para generación / edición 3D, simulación física en tiempo real, animación de personajes, modelado geométrico, renderización, etc. Desarrollar e integrar modelos de aprendizaje profundo que mejoren la velocidad, fidelidad o realismo en simulaciones basadas en físicos o flujos de trabajo gráficos complejos. Optimizar algoritmos y sistemas para velocidad y escalabilidad a través de una amplia gama de objetivos hardware y plataformas. Trabajar estrechamente con productos u otros equipos de ingeniería para identificar los desafíos clave y ofrecer soluciones gráficas sin problemas y de alto impacto. Mantenerse al día con las últimas investigaciones en computadora gráfica, simulación física y aprendizaje automático. Contribuir al intercambio de conocimientos y puede publicar hallazgos linealistas en conferencias o revistas líderes. Familiarización con la programación de GPU (CUDA, OpenCL o similar) es una ventaja, pero no se requiere. Aprendizaje automático: Experiencia en marcos de aprendizaje profundo (., PyTorch, TensorFlow) y aplicación de redes neuronales a modelos gráficos, simulaciones o generativos es un fuerte plus. Calificaciones preferidas Graduado desde diciembre 2026 con la intención de regresar al programa de grado después de completar el pasantía. Publicaciones relevantes en conferencias / revistas informáticas de primer nivel (SIGGRAPH, ICCV, CVPR, NeurIPS).
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 we remain 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.
Application Details
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.
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 (., 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 (., 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 : / / / legal / privacy
#J-18808-Ljbffr
In Summary: TikTok is looking for talented individuals to join us for an internship in 2026 . The Graphics Engine Team is developing a proprietary 3D graphics engine . The team merges pioneering research with robust engineering to build sophisticated frameworks and mathematical models that power dynamic simulations, advanced animation, and rendering solutions .
En Español: Unirse al equipo de ingenieros gráficos , donde empujamos los límites de la interacción digital mediante el desarrollo de un motor gráfico 3D patentado. Nuestro equipo fusiona investigaciones pioneras con una ingeniería robusta para construir marcos y modelos matemáticos sofisticados que impulsen simulaciones dinámicas, animación avanzada y soluciones de rendimiento, dando prioridad a las prestaciones en tiempo real. Aprovechamos tecnologías modernas de aprendizaje automático para abordar modelos 3D, escenas 3D , animación, renderización y hacer frente a desafíos problemas de grafía informática que ninguna técnica convencional puede resolver. Estamos comprometidos a ser pioneros en nuevas fronteras tecnológicas, asegurándonos de permanecer a la vanguardia de la innovación en la industria. Buscamos individuos talentosos que se unan a nosotros para realizar una pasantía en 2026. Por favor, indique claramente su disponibilidad en su currículum (fecha de inicio y fecha final). Responsabilidades Diseñar e implementar algoritmos avanzados para generación / edición 3D, simulación física en tiempo real, animación de personajes, modelado geométrico, renderización, etc. Desarrollar e integrar modelos de aprendizaje profundo que mejoren la velocidad, fidelidad o realismo en simulaciones basadas en físicos o flujos de trabajo gráficos complejos. Optimizar algoritmos y sistemas para velocidad y escalabilidad a través de una amplia gama de objetivos hardware y plataformas. Trabajar estrechamente con productos u otros equipos de ingeniería para identificar los desafíos clave y ofrecer soluciones gráficas sin problemas y de alto impacto. Mantenerse al día con las últimas investigaciones en computadora gráfica, simulación física y aprendizaje automático. Contribuir al intercambio de conocimientos y puede publicar hallazgos linealistas en conferencias o revistas líderes. Familiarización con la programación de GPU (CUDA, OpenCL o similar) es una ventaja, pero no se requiere. Aprendizaje automático: Experiencia en marcos de aprendizaje profundo (., PyTorch, TensorFlow) y aplicación de redes neuronales a modelos gráficos, simulaciones o generativos es un fuerte plus. Calificaciones preferidas Graduado desde diciembre 2026 con la intención de regresar al programa de grado después de completar el pasantía. Publicaciones relevantes en conferencias / revistas informáticas de primer nivel (SIGGRAPH, ICCV, CVPR, NeurIPS).