ML Engineer - Recommender Systems & Growth

TikTok; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

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 seeking graduates to join our Recommendation Algorithm team, where you will build and optimize production-grade recommendation models that shape user experience, content ecosystem, and platform security. You’ll deliver end-to-end ML solutions and own full-stack systems, collaborating with cross-functional teams to grow TikTok in strategic markets.

We value bold ideas and rapid growth. You will work in a fast-paced, collaborative environment with opportunities to tackle complex

Qualifications

• Bachelor’s or Master’s degree in computer science or a related discipline.
• Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language
• Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow.
• Experienced in NLP, CV, Recommender System, and Machine Learning, etc
• Effective communication and teamwork skills

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.

Skills

Programming(C/C++/Python)

Machine Learning

Communication & teamwork

Education

Bachelor’s or Master’s in Computer Science or related

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking graduates to join our Recommendation Algorithm team, where you will build and optimize production-grade recommendation models that shape user experience, content ecosystem, and platform security. You’ll deliver end-to-end ML solutions and own full-stack systems, collaborating with cross-functional teams to grow TikTok in strategic markets.

We value bold ideas and rapid growth. You will work in a fast-paced, collaborative environment with opportunities to tackle complex