Research Intern (AML) - 2026 Start (PhD)
ByteDance
San Jose
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Education: phdSkills: ["Learning","Communication","Self-motivated","Responsibility","Teamwork"]Join an Applied Machine Learning team responsible for end-to-end ML lifecycle work—ideation, research, building, deploying, and iterating on models that power recommendations, ads, and search for products like TikTok and Douyin. You’ll help scale centralized GPU computing by improving resource scheduling and operating the GPU pool, and use GPU data collection and mining to manage group-wide capacity and efficiency. Internship is for 2026.

