Responsibilities
The Speech team's mission is to empower content interaction and creation using speech & audio related technologies. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, and multimodal deep learning. We are looking for top talents to work on these exciting technologies, integrate them into various products and ultimately bring joy to our global user base! You will work on improving the performance and efficiency of large-scale AI models across training, inference, and deployment. This is an opportunity to gain hands-on experience in high-performance ML systems and contribute to enhancing user experience of all TikTok-related products. 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. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in August/September 2026. Successful candidates must be able to commit to one of the following internship start dates below: Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: - Support research and engineering efforts to optimize deep learning models for speed, memory, and scalability. - Contribute to benchmarking and profiling tools to identify performance bottlenecks. - Collaborate with engineers to integrate optimized models into production pipelines.
Qualifications
Minimum Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field. - Must be able to commit to a 12-week full-time work period during Fall 2026 - Strong programming skills in Python and familiarity with deep learning frameworks (PyTorch, TensorFlow, JAX). - Knowledge of fundamental ML concepts and algorithms. Preferred Qualifications: - Experience with AI model training/inference/deployment is a plus. - Familiarity with GPU programming (CUDA, Triton, or similar) is a plus. - Strong problem-solving skills and eagerness to learn.
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $42.75- $42.75.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
