Machine Learning Engineer - Search Recommendation, E-commerce Search

Machine Learning Engineer - Search Recommendation, E-commerce Search Growth

Location:

Seattle

Employment Type:

Regular

Job Code: A197951

About the team:
On the Tik Tok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

About the Team:
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for Tik Tok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active Tik Tok users worldwide.

Our mission: to create a world where "there are no hard-to-sell, overpriced products."

• Elevate search recommendation services and models for Tik Tok E-commerce, driving heightened e-commerce search traffic on both Tik Tok and Tik Tok Mall, while enhancing user search and purchasing cognition.
• Optimize the recommender system, focusing on hyperscale machine learning models. This involves 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, with a specific emphasis on the interaction between recommendation and NLP technology.

• 3+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business.
• 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.

The base salary range for this position in the selected city is $124,717 - $243,200 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.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

Tik Tok 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