Research Engineer​/Scientist Efficient Models

About the Team

The Vision‑Applied Research team focuses on applied research in Generative AI and CV/Multimodal Understanding, and delivering intelligent solutions to Tik Tok products, enabling users to make and share creative content in a much easier way. The team has research groups dedicated to generative models for content creation, image generation, video synthesis, intelligent image/video editing, and virtual humans.

We are looking for a Research Engineer / Scientist who can take initiatives in designing and implementing efficient models for large‑scale generative AI, with a particular emphasis on large model distillation and compression. The candidate will work on developing methods and infrastructure for transferring capabilities from foundation models into smaller, more efficient models, enabling scalable training, optimization, and deployment. Responsibilities may include, but are not limited to, distillation frameworks, model acceleration, hardware‑efficient inference, and their applications.

• Develop efficient algorithms and architectures for large‑scale generative and multimodal models, using techniques such as step distillation, cfg distillation, quantization, and other methods to improve model efficiency (e.g., image generation, video generation, VLM).
• Advance scalable generative modeling approaches, including diffusion and autoregressive models, with a focus on acceleration and efficiency.

Minimum Qualifications:

• B.S. in Computer Science or related fields, or equivalent experience.
• Expertise in efficient models with deep understanding of computational bottlenecks and acceleration methods.
• Proficiency in training generative AI or LLM models using widely adopted frameworks and tools such as PyTorch and JAX.
• Strong communication and collaboration skills in fast‑paced environments.

Preferred Qualifications:

• Ph.D. in GenAI, MLSys or equivalent experience.
• Extensive research experiences in broad GenAI, MLSys, LLM areas.
• Proven experiences in at least one of the following areas: image/video generation and editing; model compression (e.g., quantization, step/cfg distillation); efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO).

The base salary range for this position in the selected city is $212,800 - $387,600 annually. Compensation may vary based on factors such as qualifications, experience and location. Base pay is one part of the total package, including discretionary bonuses/incentives and restricted stock units. 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).

For Los Angeles County (unincorporated) candidates, qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Tik Tok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at