TikTok
Machine Learning Engineer Graduate (Monetization Technology - TikTok Ads Creativ
TikTok, San Jose, California, United States, 95199
Overview
Machine Learning Engineer Graduate (Monetization Technology - TikTok Ads Creative & Ecosystem) - 2026 Start (BS/MS). Join to apply for the Machine Learning Engineer Graduate (Monetization Technology - TikTok Ads Creative & Ecosystem) - 2026 Start (BS/MS) role at TikTok. Responsibilities
Apply algorithms to gain insights into advertisers, creators, and creatives, helping to improve the precision of match-making in the system. Assist in conducting online modeling on large-scale commercial traffic, optimizing how creatives are distributed within the recommendation and ads systems. Contribute to the development of strategies that optimize the allocation of both natural and ad traffic, aimed at increasing short-term and long-term value for advertisers and creators. Qualifications
Minimum Qualifications:
Bachelor's degree or higher in Computer Science or a related technical field. Relevant development experience with expertise in machine learning (RecSys/NLP/CV/GE), and hands-on experience with recommendation systems, computational advertising, or operational planning algorithms. Strong foundation in data structures and algorithms, with proficiency in Python, C++, or Golang. Proven analytical and problem-solving abilities, with a passion for learning new technologies. Strong team player with excellent communication skills and experience in project management. Preferred Qualifications:
Experience with large-scale machine learning systems or cloud-based platforms (e.g., AWS, Google Cloud, Azure). Knowledge of advanced machine learning techniques such as deep learning or reinforcement learning. Familiarity with A/B testing and performance optimization in recommendation systems and advertising algorithms. Demonstrated ability to drive innovation and business growth through technical leadership and strategic thinking. Legal & Benefits
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy For Pay Transparency: The base salary range for this position in the selected city is $115,200 - $231,000 annually. Compensation may vary outside of this range depending on factors including qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that may include discretionary bonuses/incentives and restricted stock units. Benefits may vary by location and include medical, dental, vision insurance, a 401(k) plan with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities or other protected reasons. If you need assistance, 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. We are a global company with offices around the world.
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Machine Learning Engineer Graduate (Monetization Technology - TikTok Ads Creative & Ecosystem) - 2026 Start (BS/MS). Join to apply for the Machine Learning Engineer Graduate (Monetization Technology - TikTok Ads Creative & Ecosystem) - 2026 Start (BS/MS) role at TikTok. Responsibilities
Apply algorithms to gain insights into advertisers, creators, and creatives, helping to improve the precision of match-making in the system. Assist in conducting online modeling on large-scale commercial traffic, optimizing how creatives are distributed within the recommendation and ads systems. Contribute to the development of strategies that optimize the allocation of both natural and ad traffic, aimed at increasing short-term and long-term value for advertisers and creators. Qualifications
Minimum Qualifications:
Bachelor's degree or higher in Computer Science or a related technical field. Relevant development experience with expertise in machine learning (RecSys/NLP/CV/GE), and hands-on experience with recommendation systems, computational advertising, or operational planning algorithms. Strong foundation in data structures and algorithms, with proficiency in Python, C++, or Golang. Proven analytical and problem-solving abilities, with a passion for learning new technologies. Strong team player with excellent communication skills and experience in project management. Preferred Qualifications:
Experience with large-scale machine learning systems or cloud-based platforms (e.g., AWS, Google Cloud, Azure). Knowledge of advanced machine learning techniques such as deep learning or reinforcement learning. Familiarity with A/B testing and performance optimization in recommendation systems and advertising algorithms. Demonstrated ability to drive innovation and business growth through technical leadership and strategic thinking. Legal & Benefits
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy For Pay Transparency: The base salary range for this position in the selected city is $115,200 - $231,000 annually. Compensation may vary outside of this range depending on factors including qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that may include discretionary bonuses/incentives and restricted stock units. Benefits may vary by location and include medical, dental, vision insurance, a 401(k) plan with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities or other protected reasons. If you need assistance, 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. We are a global company with offices around the world.
#J-18808-Ljbffr