Machine Learning Engineers

Company Name:
Tik Tok

Job Title:

Machine Learning Engineer (Search) – E-commerce – San Jose

Job : A162279

Creation is the core of Tik Tok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make Tik Tok 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 Tik Tok, we create together and grow together. That's how we drive impact—for ourselves, our company, and the communities we serve. Join us.

• Design and build large‑scale machine learning algorithms to deeply optimize e‑commerce search engines such as ranking, query analysis, and correlation calculation, and various business indicators of sorting scenarios, including relevance, click‑through rate, conversion rate, etc.
• Build machine learning solutions and algorithm strategies by analyzing and mining a large number of user queries to empower the merchant side and improve the overall matching ability of the platform.
• Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.
• Support the rapid development of Tik Tok’s e‑commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote great ecological development.

• Proficient in at least one programming language: C++, Python, Shell, and other programming skills, with a solid programming foundation and good programming style.
• Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep & Wide, and DSSM on large‑scale sparse data.
• Familiar with at least one mainstream deep learning programming framework (Tensor Flow, Caffe, MXNet), familiar with commonly used deep learning algorithms.
• Able to solve problems independently, good sense of teamwork and communication skills.
• Experience in search engines, recommendation systems, and computational advertising‑related fields is preferred.

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $136,800 – $280,000 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.

For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records…