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Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)-(General Hire) 2025[...]
Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)-(General Hire) 2025[...]TikTok • San Jose, CA, United States
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Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)-(General Hire) 2025[...]

Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)-(General Hire) 2025[...]

TikTok • San Jose, CA, United States
26 days ago
Job type
  • Full-time
Job description

Overview

Machine Learning Engineer Graduate (Commerce & Content Service & Search Ads)-(General Hire) 2025 Start(BS / MS)

Responsibilities

  • Participate in the development of a large-scale Ads system.
  • Responsible for the development of state-of-the-art applied machine learning projects.
  • Own key targeting components or strategies in the TikTok ads monetization ecosystem.
  • Work with product and business teams on product vision.

Qualifications

  • BS / MS degree in Computer Science, Computer Engineering, or other relevant majors.
  • Experience in and good theoretical grounding in machine learning concepts and techniques.
  • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to : Go, C / C++, Python.
  • Experience in one or more of the following frameworks : Tensorflow / PyTorch / MXNet, etc
  • Ability to think critically and to formulate solutions to problems in a clear and concise way.
  • Preferred Qualifications

  • Ads system, recommendation, searching, ranking, etc.
  • Base pay and compensation

    The base salary range for this position in the selected city is $118,657 - $259,200 annually. Compensation may vary outside of this range depending on a number of factors, including 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.

    Equal Employment Opportunity and Accommodation

    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. 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 : / / tinyurl.com / RA-request

    About TikTok

    TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices worldwide.

    Company values

    We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. We maintain an "Always Day 1" mindset to achieve meaningful breakthroughs for ourselves, our company, and our users.

    Seniority level

  • Entry level
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Industries : Entertainment Providers
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    Machine Learning Engineer • San Jose, CA, United States