Engineering Manager, E-Commerce Recommendations

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

About the Team
TikTok US E-commerce Recommendation team sits in the center of TikTok, designs, implements and improves the E-commerce recommendation algorithm that powers the TikTok Shop app. The recommendation system we built connects hundreds of millions of users with relevant content out of TikTok Shop and millions of E-commerce videos in real-time, and inspires high-quality content creation for millions of creators on the platform.

The team is at the intersection of cutting-edge machine learning research and large-scale end-to-end production systems. We take pride in finding the right balance between solid applied research, elegant system design and being pragmatic. We have a strong user focus and a dedication to technical excellence.

What you'll do

1. Lead the team to improve recommendation models at massive scale, through applying state-of-the-art machine learning techniques across all ranking phases including but not limited to retrieval, ranking, re-ranking, etc.
2. Drive team to apply cutting-edge application-driven research to explore the frontier of recommendation algorithmic domain. Drive team to develop industry leading recommendation systems.
3. Drive team to cross functionally work with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders.
4. Have a good understanding of end-to-end machine learning systems. Work with infra teams to improve efficiency and stability.

Qualifications
Minimum Qualifications

1. Experience managing teams in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, content understanding or multimodal machine learning.
2. Good communication and people skills, passionate about driving team direction and taking on challenging problems.

Preferred Qualifications:

1. Publications at main conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys or related conferences.
2. Strong tracking record of success in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions.
3. Participation in public/open-source AI-related projects which are of high visibility.

Job Information:
Compensation Description (annually)

The base salary range for this position in the selected city is $224000 - $410000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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