Tech Lead, Senior Machine Learning Engineer - Search Recommendation, E-commerce

$212,800 - $389,500/Yr

Tiktok - Seattle, WA

Full-time - Senior

Seattle, WA

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

About the position

The Search Growth E-commerce team at TikTok is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced natural language processing (NLP), computer vision (CV), recommendation systems, and multi-modal technology, we are shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission is to create a world where there are no hard-to-sell, overpriced products. In this role, you will be responsible for elevating search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. You will optimize the recommender system, focusing on hyperscale machine learning models, which involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Additionally, you will push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology. This position requires a strong foundation in computer science, excellent coding skills, and a solid understanding of data structures and algorithms. You will need to demonstrate excellent analytical, modeling, and problem-solving skills, with the ability to distill complex data into actionable insights. Publication records in top journals or conferences and experience winning ACM-ICPC medals will be considered a plus.

Responsibilities

• Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall.
• Enhance user search and purchasing cognition through optimized recommendation systems.
• Optimize the recommender system, focusing on hyperscale machine learning models.
• Engage in diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
• Push the boundaries of short text and general recommendation technology, emphasizing the interaction between recommendation and NLP technology.

Requirements

• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills with solid knowledge of data structures and algorithms.
• Strong analytical, modeling, and problem-solving skills, with the ability to see the essence of problems from complex data.
• Publication records in top journals or conferences are a plus.
• Experience winning ACM-ICPC medals is a plus.

Nice-to-haves

• 5+ years of work experience in machine learning.
• Good product sense with a focus on user experience.
• Domain knowledge or working experience in modern Recommendation, Search, Advertisement, or E-commerce.

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 Health Care, Limited Purpose, and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 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.