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Machine Learning Engineer - Data Recommendation (Capcut)- San Jose

TikTok

Machine Learning Engineer - Data Recommendation (Capcut)- San Jose

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$136,800 - $259,200

Benefits & Perks

Learning and development stipend

Remote work flexibility

Flexible PTO policy

Health, dental, and vision coverage

Required Skills

Apache Spark

SQL

Airflow

Responsibilities

Our team is responsible for the recommendation algorithms of video creation tools globally, overseeing recommendation distribution and user growth optimization across all apps of Cap Cut, including Jianying, Cap Cut, Hypic, so as to enhance content distribution efficiency and user growth efficiency

What You Will Do

  • Optimize the core recommendation algorithms and strategy of video creation tools globally, including Cap Cut, Hypic, etc.
  • Enhance user growth efficiency by optimizing distribution efficiency of content created by Cap Cut, Hypic, etc.
  • Optimize user experiences during creation via a deep understanding of user behavior and state-of-the-art machine learning technologies.

Qualifications

Minimum Qualifications

  • Strong coding skills with a solid foundation in data structure and algorithms.
  • Strong theoretical knowledge and practical experience in machine learning.
  • Excellent problem analysis and solving skills, with passion for tackling challenging problems.
  • Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.
  • Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, etc.) are preferred.

Compensation

The base salary range for this position in the selected city is $136,800 - $259,200 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

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.

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.

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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