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职位TikTok

Machine Learning Engineer, TikTok Core Feed Recommendation

TikTok

Machine Learning Engineer, TikTok Core Feed Recommendation

TikTok

San Jose, CA

·

On-site

·

Full-time

·

2mo ago

薪酬

$136,800 - $259,200

福利待遇

Parental Leave

Healthcare

Learning

Equity

必备技能

TensorFlow

Airflow

Python

Machine Learning Engineer, Tik Tok Core Feed Recommendation

3+ months ago• San Jose, CA

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

Responsibilities1. Research and develop large-scale recommender systems for personalized, engaging user experiences, focusing on scalability, accuracy, and performance.
2. Apply advanced machine learning and deep learning techniques to optimize recommendation algorithms for Tik Tok's diverse user base.
3. Manage the end-to-end lifecycle of recommender models, from training and fine-tuning to deployment, monitoring, and continuous improvement.
4. Analyze complex data to uncover user preferences, behaviors, and trends, driving personalization and enhancing Tik Tok's recommendation capabilities.
5. Collaborate with cross-functional teams (infrastructure, product, research, etc.) to design and implement innovative solutions that improve the relevance and diversity of Tik Tok recommendations.

Qualifications

Minimum Qualifications:

  1. Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
  2. Experience in one or more areas of recommender systems, machine learning, computer vision, or natural language processing.
  3. Proficiency in programming skills, solid foundation in data structures and algorithms.
  4. Strong familiarity with deep learning architectures such as transformers, CNNs, RNNs, LSTMs, etc.
  5. Excellent analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams.

Preferred Qualifications:

  1. Ph.D. in Computer Science, Electrical Engineering, or related fields.

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  1. Experience in building large-scale recommender systems that handle vast, diverse datasets and complex user interactions.
  2. Publications in top-tier venues such as Rec Sys, SIGGRAPH, CVPR, ICCV, ICML, NeurIPS, ICLR, or similar conferences/journals.

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-7343779888137029915

Employment Type: OTHER

Posted: 2024-11-21T12:48:14
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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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关于TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

员工数

Los Angeles

总部位置

$220B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

4.1

职业发展

3.2

管理层

2.9

68%

推荐给朋友

优点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

缺点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

薪资范围

49个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1份报告

$273,000

年薪总额

基本工资

$210,000

股票

-

奖金

-

$273,000

$273,000

面试经验

2次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

常见问题

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit