Machine Learning Engineer Intern (GenAI) - 2025 Summer (PhD)

Tiktok - San Jose, CA

Full-time - Intern

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

As a Machine Learning Engineer (MLE) Intern at TikTok, you will contribute to the development and optimization of advanced machine learning models, focusing on artificial intelligence applications. This role offers a unique opportunity to work closely with senior engineers and researchers, enhancing user experience through sophisticated AI algorithms. The internship is designed to provide hands-on experience in a fast-paced environment, allowing you to apply your knowledge in real-world scenarios while developing fundamental skills for your career.

Responsibilities

• Develop and implement advanced algorithms for AI applications to drive exploration and application of cutting-edge technologies.
• Improve natural language understanding, including intent recognition and characterization learning for short and long texts.
• Responsible for the full-stack development of large-scale machine learning systems and recommendation systems.
• Explore the personalized application of ultra-large-scale models using LLM-related techniques.

Requirements

• Currently enrolled in a PhD degree program in Computer Science, Engineering, Mathematics, or a related field with a focus on machine learning or artificial intelligence.
• Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship.
• Able to commit to working for 12 weeks during Summer 2025.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Nice-to-haves

• Strong design and coding capability, able to deliver high quality design and code.
• Strong analytical and problem-solving skills, ability to see the essence of the problem from complicated data.
• Proficient in one or more algorithmic strategies, such as NLU, Recall, or Sort.
• Familiarity with the latest Large Language Model (LLM) technologies.
• Experience in algorithm development such as large-scale search, recommendation, LLM system.

Benefits

• Hands-on experience in developing fundamental skills and exploring potential career paths.
• Vibrant blend of social events and enriching development workshops.