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Tik Tok

Senior Machine Learning Engineer

• Search Recommendation, E-commerce Search Growth (Seattle)

3+ months ago• Seattle, WA
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

• Size: 5001-10000 employees
• Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

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."

Responsibilities:

What You'll Do:

• 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.
• Provide guidance and mentorship to fellow teammates.

Qualifications:

• Minimum Qualifications

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

• Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.

• Bachelor or advanced degree in computer science or a related technical discipline.

• Preferred Qualifications

• 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.

Job Information:

For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $177688 - $341734 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).

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By signing up, you agree to our 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 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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Client-provided location(s): Seattle, WAJob ID: Tik Tok-7278076214458698045Employment Type: OTHERPosted: 2024-12-06T16:21:39Apply on company site

Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

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