(General Hire) Machine Learning Engineer Graduate (TikTok Recommendation) - 2027 Start

About the role

The 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-paced, collaborative, and impact-driven. This opening is part of the general hiring process for the TikTok Recommendation organization; applications will be evaluated by multiple teams to ensure the best match based on skills and interests.

We are looking for talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must commit to an onboarding date by the end of 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities

• Build industry-leading recommendation systems, improving user experience, content ecosystem, and platform security.
• Deliver end-to-end machine learning solutions 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

• Individuals who are completing or have recently completed a Bachelor’s degree or above in computer science or a related technical discipline.
• Proficient coding skills and strong knowledge of algorithms and data structures using C++, Python, or other programming languages.
• Experience in Machine Learning, familiar with at least one Deep Learning framework (e.g., PyTorch, TensorFlow).
• Experience in one or more of the following areas: NLP, CV, Recommender Systems, or Machine Learning.
• Effective communication and teamwork skills.

Preferred Qualifications

• Authors of published papers in accredited academic conferences.
• Winners of algorithm and machine learning competitions such as ACM and Kaggle.

Pay

The base salary range for this position is $122,574 – $316,800 annually. Compensation may vary based on qualifications, skills, experience, and location. Base pay is one part of the total package, which may include additional discretionary bonuses, incentives, and restricted stock units.

Benefits

• Day-one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).