Tech Lead- Machine Learning Engineer - Data Recommendation (Capcut)

Company:  TikTok
Location: San Jose
Closing Date: 25/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imagination 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. 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.

What You Will Do

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

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

Job Information:

Compensation Description (annually)
The base salary range for this position in the selected city is $187040 - $280000 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

#J-18808-Ljbffr
Apply Now
Share this job
TikTok
  • Similar Jobs

  • Tech Lead- Machine Learning Engineer - Data Recommendation (Capcut)

    San Jose
    View Job
  • Machine Learning Engineer, TikTok Recommendation

    San Jose
    View Job
  • Tech Lead, Senior Machine Learning Engineer - Search Recommendation, E-commerce

    San Jose
    View Job
  • Tech Lead, Senior Machine Learning Engineer - Search Recommendation, E-commerce

    San Jose
    View Job
  • Senior Machine Learning Engineer, Lemon8 Recommendation

    San Jose
    View Job
An error has occurred. This application may no longer respond until reloaded. Reload 🗙