Machine Learning Engineer Graduate (Global E-commerce Recommendation/Search) - 2026 Start (BS/MS)

TikTok's Machine Learning Engineer Graduate role focuses on global e-commerce recommendation and search, with onboarding by the end of 2026.

Responsibilities

• Collaborate in a team to pursue cutting edge research in machine learning algorithms, including retrieval and recommendation techniques.
• Contribute to building large-scale e-commerce recommendation systems (10 million to 100 million users) across product recommendations, live streams, and short video recommendations at TikTok.
• Develop long and short term user interest models, process diverse data at scale, and design efficient algorithms to uncover latent user interests.
• Apply machine learning methods to improve business scenarios such as search ranking, natural language and video understanding, and trust and safety.

Requirements

• Recent graduates or current students completing a Bachelor's degree or higher in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Excellent analytical and problem solving skills.
• Strong foundation in machine learning and deep learning, with experience in natural language processing and personalization.
• Exceptional coding skills with solid knowledge of data structures and algorithms.
• Proficiency in Linux development environments.

Technologies

• NLP (Natural Language Processing)
• Linux

Benefits

• Medical, dental, and vision insurance from day one access.
• 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 and 17 days of Paid Personal Time, prorated at start with accruals increasing by tenure.

Compensation

Base salary range: USD 124,717 - 243,200 per year. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay may be eligible for discretionary bonuses/incentives and restricted stock units. Benefits vary by employment type and location.

Location

Seattle, WA (onsite)

Employment Details

• Employment type: Regular
• Job code: A165815
• Start: 2026 intake (BS/MS), onboarding by end of 2026

Los Angeles County Candidates

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
• Exercising sound judgment