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Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

TikTok

Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$136,800 - $259,200

Benefits & Perks

Health, dental, and vision coverage

Top Tier compensation with equity

Parental leave program

Flexible PTO policy

Annual team offsites

Required Skills

Airflow

Python

TensorFlow

Machine Learning Engineer, Tik Tok Ads Core Global

  • Traffic & Strategy

3+ months ago• San Jose, CA
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

Responsibilities:

Tik Tok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel.

Ads Core Traffic Strategy & User Experience team is essential to Tik Tok's success, our work focuses are:

  • Personalized Ads Experience: We optimize every stage of the ad delivery pipeline, from recall and ranking to final placement, by integrating user feedback to make ads more relevant and engaging.
  • Cutting-Edge Multi-Scenario Integration: this includes building context models that analyze ads-related information and scene elements to improve accuracy, as well as developing list-wise models to optimize recommendation outcomes and ads ROIs.

We're looking for innovative Machine Learning Engineers to develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better returns on investment for advertisers.

What will you do:

  • Achieve extreme iteration and optimization of advertising models via adanvanced technologies like AIGC/LLMs/RL/DL to enhance Tik Tok's overall revenue and system efficiency, plus improving customer experience.
  • Optimize the delivery efficiency of automatic delivery products, aiming to increase the penetration rate and lift compared to manual delivery.
  • Iterate bidding and budget algorithms to sort out the best matching traffic as aspect of advertisers.
  • Develop ads delivery capability as a tool for doing business with joint effort of Tik Tok's global recommendation optimization.
  • Establish a robust, flexible and fair framework for multiple teams to parallely iterate related models in the delivery funnel.

Qualifications

Minimum Qualifications:

  • BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with industry experience or model optimization experience.
  • Solid programming skills, proficient in C/C++ and Python. Good theoretical grounding in deep learning concepts and techniques. Familiar with Linux development environment.
  • Good analytical and critical thinking capabilities. Have essential knowledge and skills in statistics.
  • Familiar with architecture and implementation of at least one mainstream machine learning programming framework (Tensor Flow/Pytorch/MXNet).
  • Good collaboration skills, with the ability to work effectively with cross-functional teams across different locations and time zones for global business needs.

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Preferred Qualifications:

  • Participation in national math/coding competitions (ACM/Hacker Cup/Hash Code/USACO/IOI/CCPC etc.)
  • Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these Job InformationFor Pay Transparency Compensation Description (annually)The base salary range for this position in the selected city is $136800 - $259200 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-7221012265602910523

Employment Type: OTHER

Posted: 2024-12-06T16:21:39
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