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

$115,200 - $144,000/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

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

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As part of the e-commerce alliance team, you will play a crucial role in enhancing the shopping experience for TikTok users by developing advanced machine learning algorithms that improve our recommendation systems. This position is designed for recent graduates who are eager to kickstart their careers in a dynamic and innovative environment. You will have the opportunity to work closely with merchants and creators to provide high-quality content and personalized shopping experiences, while also creating efficient shopping tools at seller centers. In this role, you will be responsible for designing and implementing cutting-edge machine learning algorithms that enhance our recommendation systems. You will apply various techniques, including machine learning, natural language processing, and computer vision, to analyze e-commerce data and user interactions. Your work will involve deploying and maintaining scalable recommendation models that handle real-time queries and product suggestions. Additionally, you will analyze complex datasets to derive insights that guide strategic decisions, ensuring that you stay up-to-date with the latest developments in machine learning to incorporate them into your work. Successful candidates must be able to commit to an onboarding date by the end of 2025. We encourage you to apply early, as applications will be reviewed on a rolling basis. This position offers unparalleled opportunities for growth and the chance to co-create a future driven by your inspiration with TikTok.

Responsibilities

• Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
• Apply 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 degree in Computer Science, Engineering, Operations Research, or related fields.
• Current or recent 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 like Health Care, Limited Purpose 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.