Machine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD)

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+4
United States

+3
+4
United States

Über

Machine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD)Join to apply for the Machine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD) role at TikTok3 days ago Be among the first 25 applicantsResponsibilities: We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.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. The application limit is applicable to TikTok and its affiliates\' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.The Data-E-commerce team oversees algorithmic and engineering work in the e-commerce business. Responsibilities include utilizing recommendation and search algorithms to help users discover products, implementing risk control and content safety algorithms, and constructing intelligent customer service technology and large-scale product knowledge graphs to improve efficiency across transaction processes and logistics.Responsibilities:Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms.Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity, live stream, and short video recommendations.Build long and short term user interest models, analyze and extract information from large data to design algorithms exploring latent user interests efficiently.Apply machine learning algorithms to improve business scenarios such as search ranking, natural language and video understanding, and trust and safety.QualificationsFinal year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.Excellent analytical and problem-solving skills.Strong foundation in machine learning and deep learning, with experience in NLP.Exceptional coding skills with solid knowledge of data structures and algorithms.Proficiency in Linux development environments.Preferred QualificationsPrior experience in search, recommendation, or advertisement algorithms.Familiarity with e-commerce businesses.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/privacyJob InformationCompensation The base salary range for this position in the selected city is $136,800 - $259,200 annually. Compensation may vary outside of this range depending on factors such as qualifications and location. Base pay is part of the Total Package that may include bonuses and stock units. Benefits may vary by location and employment type. Benefits typically include medical, dental, and vision insurance, a 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off.The Company reserves the right to modify or change benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered in accordance with all laws including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Criminal history considerations may affect job duties, including interactions with clients, handling confidential information, and exercising sound judgment.About TikTokTikTok 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.Why Join UsWe strive to inspire creativity and do great things with great people. We value curiosity, humility, impact, and an "Always Day 1" mindset to achieve breakthroughs for our users.Diversity & InclusionTikTok is committed to an inclusive space where employees are valued for their skills and experiences. We celebrate diverse voices and strive to create an environment reflecting the communities we reach.TikTok AccommodationTikTok provides reasonable accommodations in recruitment for candidates with disabilities or protected beliefs. If you need assistance, please reach out to us for accommodation requests. #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

Algorithms
Deep Learning
Linux
Machine Learning

United States

Berufserfahrung

Machine Learning
NLP
Search

Sprachkenntnisse

English

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