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(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)- 202[...]
(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)- 202[...]TikTok • San Jose, CA, United States
(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)- 202[...]

(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads)- 202[...]

TikTok • San Jose, CA, United States
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Overview

(General Hire) Machine Learning Engineer Graduate (Commerce & Content Service & Search Ads) - 2026 Start (BS / MS) at TikTok. This role is a General Hire Machine Learning Engineer Graduate position designed for BS / MS graduates to join the Commerce & Content Service & Search Ads monetization teams.

Responsibilities

  • Participate in the development of a large-scale Ads system.
  • Develop 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 strong theoretical grounding in machine learning concepts and techniques.
  • Excellent programming, debugging, and optimization skills in Go, C / C++, Python (one or more).
  • Experience with ML frameworks such as TensorFlow, PyTorch, MXNet, etc.
  • Ability to think critically and to formulate solutions clearly and concisely.
  • Preferred Qualifications

  • Experience in ads systems, recommendation, searching, ranking, or related areas.
  • Hiring Details

    Onboarding date : Successful candidates must be able to commit to an onboarding date by the end of 2026. Please state your availability and graduation date clearly in your resume.

    Application limit : Candidates may apply to a maximum of two positions; applications are reviewed on a rolling basis. Apply early.

    Compensation and Benefits

    The base salary range for this position in the selected city is $115,200 - $231,000 annually. Compensation may vary based on location, qualifications, skills, and experience. Base pay is one component of total compensation and this role may be eligible for additional discretionary bonuses, incentives, and restricted stock units. Benefits may vary by location. Employees have day-one access to medical, dental, and vision insurance; a 401(k) with company match; paid parental leave; short- and long-term disability coverage; life insurance; wellbeing benefits; and 10 paid holidays, 10 paid sick days, and 17 days of paid personal time (pro-rated on hire).

    Legal and Accessibility

    TikTok is committed to equal opportunity employment and to providing reasonable accommodations in recruitment processes for candidates with disabilities or other protected reasons. For Los Angeles County (unincorporated) candidates, qualified applicants with arrest or conviction records will be considered in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The following job duties may be impacted by criminal history and could affect offers : interacting with clients / colleagues, handling confidential information, and exercising sound judgment.

    TikTok is dedicated to diversity and inclusion and to creating an accessible workplace for all. If you need assistance or a reasonable accommodation, please contact the recruitment team.

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    Machine Learning Engineer • San Jose, CA, United States

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