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

Responsibilities

Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.

About Us

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

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. Join us.

About the Team

The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business.

We use state-of-the-art large-scale machine learning technology, cutting-edge NLP, CV, and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience for more than 1 billion monthly active TikTok users around the world.

Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

Responsibilities - What You'll Do

Improve the basic search quality and user experience : Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching.

Improve users' perception of product authority, and deeply participate in the design and implementation of core search products.

Comprehensively improve the end-to-end shopping experience from browsing to after-sales.

Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking, and mixed row) : Improve users' personalized shopping interests model.

Improve the shopping conversion efficiency for merchandise, video, and live stream to promote GMV growth.

Promote the healthy development of the ecosystem : From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc.

Think, analyze, and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

Qualifications

• Industry work experience in machine learning. Good product sense with a focus on user experience.
• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills. Solid knowledge of data structure and algorithms.
• Excellent in analysis, modeling, and problem-solving, and can see the essence of problems from complex data.
• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at [email protected].

Job Information : For Pay Transparency

For Pay Transparency

The base salary range for this position in the selected city is $194,000 - $355,000 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.

J-18808-Ljbffr