(General Hire)Tech Lead, Machine Learning Engineer, TikTok Recommendation
Tiktok
Apply to this jobDescription
About the Team
Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are hiring for multiple roles in various teams within the TikTok Recommendations.
Responsibilities:
- Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
- Deliver end-to-end machine learning solution to address critical product challenges;
- Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
- Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
Requirements
Minimum Qualification
- Bachelor degree in computer science or a related major, with 5+ years of related work experience;
- Strong software development experience with C++, Python or other programming language;
- Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
- Strong communication and teamwork skills;
- Passion about techniques and solving challenging problems.
Summary
Build and optimize large-scale recommendation systems and ML solutions at TikTok.
Job title
Tech Lead, Machine Learning Engineer, TikTok Recommendation
Experience level
5+ years
Minimum experience
5+ years exp
Industry
software
Location requirements
San Jose, CA; remote not specified
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
San Jose, CA, USA