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Tech Lead Machine Learning Engineer - TikTok Content Ecology

AT TikTok
TikTok

Tech Lead Machine Learning Engineer - TikTok Content Ecology

San Jose, CA

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

TikTok Content Ecology Algorithm Team leverages multimodal, LLM/MLLM, NLP & CV, and recommendation technologies to provide platform-level algorithmic capabilities for various business lines, including local services, search, main architecture, PGC (Professionally Generated Content), and UG (User Growth).
Our work spans short video content understanding, global trending event detection, intelligent customer service, and inspiration recommendation.
There are over a hundred languages here, presenting multilingual challenges for NLP/LLM technologies.
With a vast amount of short video content, MLLM and multimodal technologies have more application scenarios. The platform has a large user base, with hundreds of millions of creators, providing rich application scenarios for inspiration recommendation technologies.
All business lines are in a period of rapid growth, with overall DAU and revenue increasing rapidly, offering vast development opportunities.
Welcome to join us!

Responsibilities:
- As the Tech Lead, responsible for leading the implementation of content ecology algorithm projects across various business lines.
- Ensuring optimal technology selection, and considering NLP, CV, multimodal, LLM, search and recommendation technologies for different projects.
- Collaborate and communicate with multiple cross-functional teams to drive project progress.
- Consider localization deployment solutions and maintain close collaboration with local teams.

Qualifications

Minimum Qualifications:
- Hands-on experience of leading the development of one or more NLP, LLM, Search, Recommendation, Ads, and large-scale distributed systems.
- Proficiency in one or more programming languages, including Python, C/C++.

Preferred Qualifications:
- Master's or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- 5 years of machine learning related industry experience
- Deep understanding of modern NLP/CV/LLM/Search/Recommendation/Ads and machine learning systems. Ability to apply machine learning algorithms to real business products and drive business growth.
- Ability to partner closely with teams within the organization and with customers to execute on the vision for the long-term success of our product teams.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $224000 - $410000 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, USA
Job ID: TikTok-7449455065176590610
Employment Type: Other

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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