Machine Learning Engineer Graduate

About the Role

The E-commerce Alliance team at TikTok builds intelligent and automated affiliate operation tools to help merchants achieve their business goals. We provide creators with efficient and highly personalized product recommendations, aiming to expand merchant marketing opportunities, increase creator monetization, and deliver a more engaging shopping experience to TikTok users. The team works on large-scale recommendation and search systems, intelligent affiliate operations, creator and product understanding, and machine learning solutions that impact commerce growth.

Key Responsibilities

• Design and build cutting-edge machine learning, recommendation, and ranking algorithms to power large-scale e-commerce recommendation systems delivering high-quality, real-time product recommendations.
• Develop AI-powered merchant operation systems and AI agents to help merchants optimize affiliate strategies, improve business ROI, and lower the barrier to growing their business through automation.
• Apply state-of-the-art LLMs, NLP, and multimodal machine learning to discover new business opportunities and drive sustainable growth for merchants and creators.
• Collaborate closely with product managers, engineers, and cross-functional teams to bring AI solutions from research to production.
• Stay at the forefront of advances in AI and machine learning, rapidly prototyping and productionizing new technologies.
• Build ML-agents to automate algorithm development workflows, accelerating experimentation, model iteration, evaluation, and deployment.

Requirements & Tech Stack

• Individuals completing or recently completed a Bachelor's degree in Computer Science, Engineering, Operations Research, or a related discipline.
• Thorough understanding of data structures and algorithms, with excellent problem-solving ability.
• Deep understanding of machine learning, statistics, scaling distributed computing, and big data engineering.
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Internship experience or research experience, especially in e-commerce, recommendation, or search engines.
• Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
• Curiosity toward new technologies and entrepreneurship.
• High levels of creativity and quick problem-solving capabilities.

Job Information

• Commitment to an onboarding date by the end of the year.
• Availability and graduation date must be clearly stated in the resume.
• Candidates can apply to a maximum of two positions globally.
• Applications will be reviewed on a rolling basis.

Compensation

• Base salary range: $121,600 - $243,200 annually (may vary based on qualifications, skills, experience, and location).
• Potential eligibility for 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).