Machine Learning Engineer Graduate (Search E-commerce) - 2024 Start (PhD)

$137,750 - $237,500/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

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

About the position

As a Machine Learning Engineer Graduate in the Search E-commerce team at TikTok, you will play a pivotal role in enhancing the search algorithm for TikTok's rapidly expanding global e-commerce business. This position is designed for recent graduates who are eager to apply their knowledge in a practical setting and contribute to the development of cutting-edge technology. The Search E-commerce team utilizes state-of-the-art large-scale machine learning technology, including advanced natural language processing (NLP), computer vision (CV), and multi-modal technology, to create a top-tier search engine that delivers an exceptional e-commerce search experience to over 1 billion monthly active users worldwide. Your mission will be to help build a world where no good-priced product is hard to sell, thereby improving the overall shopping experience for users. In this role, you will be responsible for optimizing query analysis and text relevance matching to enhance the basic search quality and user experience. You will delve into e-commerce video content to implement multi-modal matching techniques, aiming to improve users' perception of product authority. Additionally, you will be involved in the design and implementation of core search products, focusing on comprehensively improving the end-to-end shopping experience from browsing to after-sales support. You will also design and implement the end-to-end ranking system, which includes recall, first-stage ranking, final-stage ranking, and mixed row strategies. This will involve improving personalized shopping interest models and enhancing shopping conversion efficiency for merchandise, video, and live streams to promote growth in gross merchandise volume (GMV). Furthermore, you will address industry challenges such as supply and demand matching, business cold starts, and sustainable business growth, analyzing and adjusting the system's evolution to achieve long-term GMV growth. Successful candidates will have the opportunity to kickstart their careers at TikTok, pursuing bold ideas and exploring limitless growth opportunities. The position requires a commitment to one of several start dates in 2024, and candidates are encouraged to apply early as applications will be reviewed on a rolling basis.

Responsibilities

• Improve the basic search quality and user experience by optimizing query analysis and text relevance matching.
• Understand e-commerce video content and implement multi-modal matching to enhance user perception of product authority.
• Participate in the design and implementation of core search products to improve the end-to-end shopping experience from browsing to after-sales.
• Design and implement the end-to-end ranking system, including recall, first-stage ranking, final-stage ranking, and mixed row strategies.
• Enhance users' personalized shopping interests model to improve shopping conversion efficiency for merchandise, video, and live streams.
• Address industry challenges such as supply and demand matching, business cold starts, and sustainable business growth.
• Analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

Requirements

• Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Excellent coding skills with solid knowledge of data structures and algorithms.
• Strong analytical, modeling, and problem-solving skills, with the ability to distill complex data into essential insights.
• Publication records in top journals or conferences are a plus; experience winning ACM-ICPC medals is also a plus.

Nice-to-haves

• Experience with large-scale machine learning technologies.
• Familiarity with natural language processing and computer vision techniques.
• Previous internships or projects related to e-commerce or search algorithms.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with 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 expenses.
• 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.