TikTok had H-1B petitions approved for 454 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record
At a glance
(General Hire) Machine Learning Engineer (all levels) , TikTok Recommendation at TikTok, an on-site role based in San Jose, California, USA. First seen on RealAnalystJobs on 15 November 2026, read from TikTok's own careers page (TikTok), which RealAnalystJobs re-checks daily and removes the role when it closes. TikTok has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).
Similar roles on RealAnalystJobs, as of 15 November 2026
About the Team
Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is a diverse group of world-level researchers and engineers, who develop and support the production recommendation systems that drive product impact. The team is fast-paced, collaborative and impact-driven.
What is General Hire ?
If you're applying under the General Hire track for the TikTok Recommendation Organization, you'll go through a unified interview process designed to assess your fit across the whole TikTok Recommendation Organization. Based on your background, experience, interests, and interview performance, we'll help identify one or more teams that are the best match for you.
Responsibilities - What You'II Do
- Develop recommendation systems that improve user experience and platform content ecosystem.
- Build machine learning systems and pipelines to address critical product challenges.
- Own a full stack machine learning system(s), lead its development, support, and improvements.
- Collaborate with cross functional teams to design product strategies and build solutions to grow TikTok in the US market.
Qualifications
Minimum Qualifications
- B.S. in Computer Science, Machine Learning, Statistics, or equivalent experience.
- Strong coding skills in Python and/or C++, with solid foundations in data structures and algorithms.
- Experience building machine learning systems using frameworks such as PyTorch or TensorFlow.
- Proven expertise in recommendation systems, ranking, retrieval, personalization, applied machine learning, or large-scale ML infrastructure.
- Strong communication and collaboration skills.
Preferred Qualifications
- Ph.D. in Recommendation Systems, Machine Learning, or equivalent experience.
- Strong background in user modeling, recommendation, ranking, retrieval, or large-scale ML systems.
- Experience with LLM-powered recommendation, multimodal recommendation, or reinforcement learning.
- Publications in ML, AI, or RecSys conferences are a strong plus.
Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.