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Senior Machine Learning Engineer, Search - Local Services Team

TikTok

Senior Machine Learning Engineer, Search - Local Services Team

TikTok

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$177,688 - $341,734

Benefits & Perks

Parental leave program

Top Tier compensation with equity

Health, dental, and vision coverage

Annual team offsites

Remote work flexibility

Wellness benefits

Required Skills

SQL

PyTorch

Apache Spark

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

  • Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure
  • Improve the search experience in local services and promote ecosystem growth
  • Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to:
  • Improve user shopping experiences
    • Enhance conversion efficiency
  • 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

Minimum Qualifications

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

Preferred Qualifications

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

Compensation

The base salary range for this position in the selected city is $177,688 - $341,734 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

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
  • 401(k) savings plan with company match
  • Paid parental leave
  • Short-term and long-term disability coverage
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays per year
  • 10 paid sick days per year
  • 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.

Additional Information 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:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
  • Exercising sound judgment

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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