ML Engineer: Content Recommendation (Ecosystem/Cold-Start)

TikTok; San Jose (CA); Hybrid; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision coverage

401(k) with company match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok is hiring a Machine Learning Engineer in San Jose for the Content Recommendation team to design and optimize large-scale recommendation algorithms, deliver end-to-end ML solutions, and improve the overall user experience across the ecosystem.

You will own the full stack ML system, work with cross-functional teams to define product strategies, and contribute to scalable infrastructure and models used in important markets.

Qualifications

• Bachelor degree in CS or related field with 2+ years of experience.
• Strong software development with C++ and Python.
• Experience in ML, ML infrastructure, large-scale recommender systems.
• Strong communication and teamwork skills.
• Passion for solving challenging problems.

Responsibilities

• Build industry-leading recommendation system to improve user experience.
• Deliver end-to-end ML solutions for product challenges.
• Own full-stack ML system and optimize algorithms.
• Collaborate with cross-functional teams to grow TikTok in key markets.

Skills

C++/Python programming

Machine learning

Large-scale recommender systems

Communication

Team collaboration

Education

Bachelor's degree in CS or related field

Job description

TikTok is hiring a Machine Learning Engineer in San Jose for the Content Recommendation team to design and optimize large-scale recommendation algorithms, deliver end-to-end ML solutions, and improve the overall user experience across the ecosystem.

You will own the full stack ML system, work with cross-functional teams to define product strategies, and contribute to scalable infrastructure and models used in important markets.