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Machine Learning Engineer, Multimodality

TikTok

Machine Learning Engineer, Multimodality

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$118,657 - $359,720

Benefits & Perks

Learning and development stipend

Health, dental, and vision coverage

Parental leave program

Remote work flexibility

Top Tier compensation with equity

Flexible PTO policy

Required Skills

Apache Spark

SQL

PyTorch

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 use an AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time. We sincerely invite you to join us and build the most advanced risk control system in the industry.

Responsibilities:

  1. Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc.
  2. Responsible for the construction of models, such as AIGC model, image/video model, multimodality model, etc.
  3. Responsible for model acceleration, improving inference efficiency while maintaining the effectiveness of models.
  4. Responsible for tracking and implementation of SOTA technologies in the CV/Multimodality.

Qualifications

Minimum Qualifications:

  1. Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++.

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  1. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc.3. Proficiency in building or finetuning LLMs at scale. Worked across CV, NLP or text/audio technologies.

Preferred Qualifications1. Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++.2. Familiar with NLP-related tasks, such as text classification, keyword matching, large language model (LLM), etc.3. Familiar with CV-related tasks, such as image/video classification, object detection, retrieval, etc.4. Familiar with multimodality technologies, such as vision-language pretraining.5. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.6. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.7. Experience in Gen-AI or AIGC models is preferred.8. Published papers in CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $359720 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-7436163372587141394

Employment Type: OTHER

Posted: 2024-11-13T03:52:01
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