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Research Scientist - Privacy-Preserving Large-Scale Model Training & Architecture Optimization

TikTok

Research Scientist - Privacy-Preserving Large-Scale Model Training & Architecture Optimization

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$136,800 - $259,200

Benefits & Perks

Health benefits

Creative environment

Conference budget

Competitive salary and equity

Healthcare

Required Skills

Figma

Sketch

Framer

Responsibilities

At Tik Tok, we treat privacy as our top priority in our product design and implementation. Privacy is not just about regulation compliance, but also about a more trusted way to enable technology innovation by respecting users' privacy choices!

Privacy Innovation (PI) Lab is established to explore the next frontier of privacy technology and theory in the digitalized world. We provide key insights and technical solutions on privacy-related innovation for all Tik Tok's products. Furthermore, we also collaborate with worldwide technical and academic communities to build an open ecosystem to promote a privacy-friendly digital experience.

  • Design and execute research on the critical industrial challenges of GenAI innovation.
  • Work with product teams to understand key privacy requirements from the Tik Tok product family and provide technical consulting on privacy-related features.
  • Work with engineering teams to apply technical achievements from our research to product prototyping.
  • Advocate research findings to diverse audiences through written reports and verbal presentations.
  • Represent PI Lab and our work in the external technical and academic community.

Qualifications

Minimum Qualifications:

  • PhD in Computer Science, a related technical field, or equivalent practical experience.
  • Research experience in GenAI with a strong publication record or contributions to open-source projects.

Preferred Qualifications:

  • 2 years of research or production experience in the following areas:
  • Pretraining, fine-tuning, and post-training
    • Responsible AI, privacy-preserving LLMs, and LLM alignment
    • Reinforcement learning for tuning language models
    • Efficient training and inference techniques

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.

Additional Information 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.

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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