Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (PhD)

$145,000 - $250,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Machine Learning Engineer Graduate position at TikTok is designed for recent graduates pursuing a career in e-commerce recommendation and search systems. The role focuses on developing and implementing advanced machine learning algorithms to enhance TikTok's recommendation systems, thereby improving the shopping experience for users. This position offers a unique opportunity to work within a dynamic team that collaborates with merchants and creators to deliver high-quality content and personalized shopping experiences. Graduates will have the chance to kickstart their careers and explore growth opportunities in a supportive environment.

Responsibilities

• Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
• Utilize machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
• Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
• Analyze complex datasets to derive insights that guide strategic decisions.
• Stay up-to-date with the latest machine learning developments, incorporating them into your work.

Requirements

• Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
• Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical 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.

Nice-to-haves

• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Internship experience or research experience, especially in e-commerce, recommendation, search engine.
• 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.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.