refresh

Trending Companies

Trending

Jobs

JobsTikTok

Machine Learning Engineer, Search - Local Services Team

TikTok

Machine Learning Engineer, Search - Local Services Team

TikTok

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$112,725 - $177,840

Benefits & Perks

Learning and development stipend

Wellness benefits

Flexible PTO policy

Top Tier compensation with equity

Parental leave program

Required Skills

Python

TensorFlow

PyTorch

  • Jobs

  • View All Jobs

  • Companies

  • Advice

  • Coaching

  • Newsletter

  • Employers

  • Sign In

  • Saved Companies

  • Account Settings

  • Sign Out

Tik Tok

Machine Learning Engineer, Search

  • Local Services Team

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 Data-Search-Tik Tok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on personalized relevance, CTR/CVR prediction, and optimized conversion efficiency for billions of users.

Responsibilities:

  1. Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure.
  2. Improve the search experience in local services and promote ecosystem growth.
  3. Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency.
  4. Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking. Personalized behavior modeling for relevance computation. CTR (Click-Through Rate) prediction, CVR (Conversion Rate) prediction. Vector recall and value blending.

Want more jobs like this?

Get jobs in Seattle, WA delivered to your inbox every week.
Email Address

Send me The Muse newsletters for the best in career advice and job search tips.

Get jobs!
By signing up, you agree to our Qualifications

Minimum Qualifications:

  1. Excellent analytical and problem-solving skills.
  2. Strong foundation in machine learning and deep learning, with experience in: NLP (Natural Language Processing).
  3. Exceptional coding skills with solid knowledge of data structures and algorithms.
  4. Proficiency in Linux development environments.

Preferred Qualifications:

  1. Prior experience in search, recommendation, or advertisement algorithms.
  2. Familiarity with local life services and e-commerce businesses.

Job Information:

For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $112725 - $177840 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.

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-7527435038762895624Employment Type: OTHERPosted: 2025-07-18T00:31:12Apply 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)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
0 seconds of 2 minutes, 18 seconds Volume 0%
Press shift question mark to access a list of keyboard shortcuts Keyboard Shortcuts Enabled Disabled Shortcuts Open/Close/ or ?Play/PauseSPACEIncrease Volume↑Decrease Volume↓Seek Forward→Seek Backward←Captions On/Offc Fullscreen/Exit Fullscreenf Mute/Unmutem Decrease Caption Size-Increase Caption Size+ or =Seek %0-9

Next Up Tik Tok Client Provided Video 101:20

facebook
linkedin
x
tumblr
reddit
pinterest
Email
Linkhttps://cdn.jwplayer.com/previews/LVcpvjZACopied

Live00:0002:1802:18

More Videos

  • 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
  • Limitless Possibilities01:41Working at Tik Tok
  • Women's Community01:31Working at Tik Tok
  • Women's Empowerment01:45Working At Tik Tok
  • BLXCK01:27Working at Tik Tok
  • Diversity, Equity and Inclusion with BLXCK
    Close
    Apply on company site

Similar Jobs

Machine Learning Engineer Atlassian Seattle, WAMachine Learning Engineer Aptiv Shanghai, China Machine Learning Engineer Snap Ra'anana, Israel

Suggested Searches

mid jobs Tik Tok jobs All jobs

Search Additional Jobs

Machine Learning Engineer Jobs in Seattle, WAJobs in Seattle, WAThe Muse LogoA logo with "the muse" in white text.

of Use

  • Popular Jobs

  • New York Jobs

  • San Francisco Jobs

  • Seattle Jobs

  • Engineering Jobs

  • Marketing Jobs

  • Information Technology Jobs

  • Salaries

Get Involved

  • For Employers
  • The Muse Book: The New Rules of Work
  • For Career Coaches
  • Tell A Friend

Join The Conversation:

  • Facebook

  • LinkedIn

  • Twitter

  • Pinterest

  • Instagram

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures