TikTok
Machine Learning Scientist Graduate - Global E-commerce Content Recommendation -
TikTok, Seattle, Washington, us, 98127
Overview
Machine Learning Scientist Graduate - Global E-commerce Content Recommendation - 2026 Start (BS/MS) at TikTok. This role involves joining the Global E-Commerce Content Recommendation team, which focuses on production recommendation models and product impact, exploring how large language models (LLMs) and generative AI can transform the recommendation process. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. Applications are reviewed on a rolling basis; apply early. Responsibilities
Develop and deploy ML models to power personalized e-commerce recommendations Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV Focus on scaling, robustness, and production-quality deployment Qualifications
Minimum Qualifications:
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Proficient coding skills
in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch Demonstrated ability to conduct rigorous research and analyze large-scale data Strong problem-solving skills and a high sense of ownership Preferred Qualifications:
Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys) Experience with recommendation systems, retrieval models, or multi-modal learning Familiarity with building and deploying real-time, scalable ML systems in production Background in e-commerce or related applied AI research domains Compensation & Benefits
For Pay Transparency: The base salary range for this position in the selected city is $112725 - $177840 annually. Compensation may vary outside of this range based on qualifications, skills, competencies, experience, and location. Base pay is part of the Total Package and may include discretionary bonuses/incentives and restricted stock units. Benefits vary by location and include medical, dental, and vision insurance, 401(k) with company match, parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. EEO & Accommodation
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 protected reasons. If you need assistance or a reasonable accommodation, please reach out at the provided accommodation link. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have global offices and a diverse, inclusive culture that fosters curiosity, humility, and impact.
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Machine Learning Scientist Graduate - Global E-commerce Content Recommendation - 2026 Start (BS/MS) at TikTok. This role involves joining the Global E-Commerce Content Recommendation team, which focuses on production recommendation models and product impact, exploring how large language models (LLMs) and generative AI can transform the recommendation process. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. Applications are reviewed on a rolling basis; apply early. Responsibilities
Develop and deploy ML models to power personalized e-commerce recommendations Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV Focus on scaling, robustness, and production-quality deployment Qualifications
Minimum Qualifications:
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Proficient coding skills
in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch Demonstrated ability to conduct rigorous research and analyze large-scale data Strong problem-solving skills and a high sense of ownership Preferred Qualifications:
Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys) Experience with recommendation systems, retrieval models, or multi-modal learning Familiarity with building and deploying real-time, scalable ML systems in production Background in e-commerce or related applied AI research domains Compensation & Benefits
For Pay Transparency: The base salary range for this position in the selected city is $112725 - $177840 annually. Compensation may vary outside of this range based on qualifications, skills, competencies, experience, and location. Base pay is part of the Total Package and may include discretionary bonuses/incentives and restricted stock units. Benefits vary by location and include medical, dental, and vision insurance, 401(k) with company match, parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. EEO & Accommodation
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 protected reasons. If you need assistance or a reasonable accommodation, please reach out at the provided accommodation link. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have global offices and a diverse, inclusive culture that fosters curiosity, humility, and impact.
#J-18808-Ljbffr