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Machine Learning Engineer Graduate (Ads Interface and Platform) - 2026 Start (BS/MS)

TikTok

Machine Learning Engineer Graduate (Ads Interface and Platform) - 2026 Start (BS/MS)

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$118,657 - $187,200

Benefits & Perks

Wellness benefits

Learning and development stipend

Flexible PTO policy

Remote work flexibility

Required Skills

TensorFlow

Python

Apache Spark

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

We are Tik Tok Monetization Ads Interface Team, dedicated to creating an exceptional advertising experience and intelligent growth marketing strategies for global advertising clients. Here, you will engage with challenging technical domains such as large-scale user systems, diverse advertising fields (ad creation, material optimization, delivery strategy, attribution, measurement, etc.), AI-driven personalized recommendations and growth strategies, and massive client profiling powered by LLM and big data. We are seeking like-minded individuals to join us in leveraging technology to help global small and medium-sized business (SMB) advertisers effectively connect with customers, achieve business success, and drive the rapid growth of Tik Tok's advertising business!

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We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Tik Tok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resumes.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Responsibilities:1.Shape Tik Tok Monetization's growth through the development of personalized strategies such as coupons, internal advertising, and intelligent suggestions. This role directly influences the company's P&L and monetization roadmap.2.Work with cross-functional teams to design cutting-edge machine learning models aimed at enhancing SMB advertisers' performance. This includes predicting key performance indicators like click-through rates and conversion rates, leveraging data and technology to drive business outcomes.3.Build TTAM (Tik Tok Ads Manager) Copilot by integrating LLMs into our products and services to improve advertiser engagement. Tasks include developing Generative-AI based QAs, recommending auto-creation strategies, and developing conversational creation flows, all contributing to user satisfaction and engagement.

Qualifications:

Minimum Qualifications:

  1. MS/BS in Computer Science, Engineering, Mathematics, or a related field.
  2. Experience with machine learning, in either an academic or industrial setting.
  3. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc.
  4. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., Tensor Flow, Py Torch, or scikit-learn).
  5. Experience with big data technologies, such as Hadoop, Spark, or Hive.
  6. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.
  7. Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).

Preferred Qualifications:

  1. Experience in developing industrial advertising systems and recommendation systems.
  2. Experience with LLM and AIGC.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $187200 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): San Jose, CA

Job ID: Tik Tok-7532666812300855570

Employment Type: OTHER

Posted: 2025-08-01T00:36:06
Apply 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

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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