refresh

Trending Companies

Trending

Jobs

JobsTikTok

Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

TikTok

Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

TikTok

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$129,960 - $246,240

Benefits & Perks

Annual team offsites

Wellness benefits

Health, dental, and vision coverage

Top Tier compensation with equity

Flexible PTO policy

Required Skills

PyTorch

SQL

Airflow

  • Jobs

  • View All Jobs

  • Companies

  • Advice

  • Coaching

  • Newsletter

  • Employers

  • Sign In

  • Saved Companies

  • Account Settings

  • Sign Out

Tik Tok

Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

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 Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology:

  • Combat any kinds of risks/violations issues in E-commerce scenarios.
  • Build an E-commerce ecosystem and improve platform service capabilities

Responsibilities:

  • Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
  • Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
  • Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
  • Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.
  • Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

What You Will Do:

  • Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business, explore cutting-edge technologies, and apply them to e-commerce business scenarios.
  • Streamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc.
  • Optimize video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimize the e-commerce short video shopping experience.
  • Optimize the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions.
  • Optimize the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improve the platform governance effect.

Want more jobs like this?

Get Software Engineering 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
  • Responsible for the research of large-scale multimodal (vision, speech, natural language, etc.) algorithms and their implementation in e-commerce scenarios.
  • Extract extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers. Model large-scale networks to support business scenarios like content understanding, multimodal representation, and community mining for problem-solving purposes.
  • Participate in the construction of a large-scale graph storage and graph learning platform, supporting the basic ability of graph learning with billions of nodes and edges.

Qualifications:

  • Bachelor's degree or above in computer science or related field
  • Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
  • Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
  • Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM
  • Excellent analytical and problem-solving skills, passionate about challenging problems
  • Good team spirit and strong communication skills
  • Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred
  • Fluent English listening, speaking, reading, and writing skills are preferred
  • Experience studying, working, or living overseas is preferred.

Tik Tok 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 Tik Tok, 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.

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 atdataecommerce.accommodations@tiktok.com.

Job Information:

For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $129960 - $246240 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-7089491336675838244Employment Type: OTHERPosted: 2024-10-12T03:42:13Apply 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 Apple Sunnyvale, CAMachine Learning Engineer Apple Cupertino, CA

Suggested Searches

Software Engineering jobsmid jobs Tik Tok jobs All jobs

Search Additional Jobs

Machine Learning Engineer Jobs in Seattle, WAJobs in Seattle, WASoftware Engineering Jobs Software Engineering Jobs 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