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Software Engineer - Machine Learning Infrastructure - USDS

TikTok

Software Engineer - Machine Learning Infrastructure - USDS

TikTok

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible PTO policy

Annual team offsites

Top Tier compensation with equity

Learning and development stipend

Health, dental, and vision coverage

Parental leave program

Required Skills

Apache Spark

Python

PyTorch

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Tik Tok

Software Engineer

  • Machine Learning Infrastructure
  • USDS

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:

  • The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer

  • Machine Learning Infrastructure to join our team to support and advance that mission.

  • Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

  • Responsible for improving use-ability and flexibility of the machine learning infrastructure.

  • Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.

  • Responsible for designing and developing key components of ML infrastructure and mentoring interns.

Qualifications:

  • Minimum Qualifications

  • Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role

  • Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.

  • Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, Map Reduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.

  • Experience in developing and deploying large-scale systems.

  • Preferred Qualifications

  • Experience contributing to an open sourced machine learning framework (Tensor Flow/Py Torch).

  • Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

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  • Experience in using/designing open-source machine learning lifecycle management systems: TFX
  • Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems.
  • Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of business logic.
  • Have a strong sense of responsibility, good learning ability, communication ability and self-motivation, and be able to respond and act quickly.
  • Have good working document habits, and write and update work flow and technical documents in a timely manner as required.

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits.

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-7410838620825913638Employment Type: OTHERPosted: 2025-07-27T00:22:53Apply 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

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Linkhttps://cdn.jwplayer.com/previews/LVcpvjZACopied

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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
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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

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

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