ByteDance
Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)-
ByteDance, Seattle, Washington, us, 98127
Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (BS/MS)
Join to apply for the Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (BS/MS) role at ByteDance
The e‑commerce alliance team serves merchants and creators on the platform, aiming to improve business indicators and content quality. We provide high‑quality content and a personalized shopping experience, efficient shopping tools at seller centers, and collaboration between merchants and creators. As a graduate, you will gain opportunities to kickstart your career, pursue bold ideas, and explore limitless growth.
All successful candidates must commit to an onboarding date by the end of the year 2026. Please state your availability and graduation date in your resume. Candidates can apply to up to two positions; applications are reviewed on a rolling basis.
Responsibilities
Design and implement cutting‑edge machine learning algorithms to enhance our recommendation systems.
Apply machine learning, natural language processing, and computer vision techniques to analyze e‑commerce data and user interactions.
Deploy and maintain scalable recommendation models for real‑time query handling and product suggestions.
Analyze complex datasets to derive insights that guide strategic decisions.
Stay up to date with the latest machine learning developments and incorporate them into your work.
Qualifications
Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields with 0–1 year of work experience.
Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Thorough understanding of data structures and algorithms, with excellent problem‑solving ability.
Deep knowledge of machine learning, statistics, distributed computing, and big‑data engineering.
Preferred Qualifications
Demonstrated software engineering experience from prior internship, work, coding competitions, or publications.
Internship or research experience, especially in e‑commerce, recommendation, or search engines.
Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
Curiosity toward new technologies and entrepreneurship.
High levels of creativity and rapid problem‑solving capabilities.
Compensation & Benefits The base salary range for this position in the selected city is $112,725 – $177,840 annually. Compensation may vary based on qualifications, skills, and location. The total package may include discretionary bonuses, incentives, and restricted stock units.
Benefits cover medical, dental, vision insurance; a 401(k) plan with company match; paid parental leave; short‑ and long‑term disability; life insurance; wellbeing programs; 10 paid holidays; 10 paid sick days; and 17 paid personal days (prorated upon hire).
Legal & Compliance For Los Angeles County candidates, qualified applicants will be considered per federal, state, and local laws including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
ByteDance is committed to providing reasonable accommodations in recruitment for candidates with disabilities, pregnancy, or sincerely‑held religious beliefs. For assistance, visit https://tinyurl.com/RA-request.
#J-18808-Ljbffr
The e‑commerce alliance team serves merchants and creators on the platform, aiming to improve business indicators and content quality. We provide high‑quality content and a personalized shopping experience, efficient shopping tools at seller centers, and collaboration between merchants and creators. As a graduate, you will gain opportunities to kickstart your career, pursue bold ideas, and explore limitless growth.
All successful candidates must commit to an onboarding date by the end of the year 2026. Please state your availability and graduation date in your resume. Candidates can apply to up to two positions; applications are reviewed on a rolling basis.
Responsibilities
Design and implement cutting‑edge machine learning algorithms to enhance our recommendation systems.
Apply machine learning, natural language processing, and computer vision techniques to analyze e‑commerce data and user interactions.
Deploy and maintain scalable recommendation models for real‑time query handling and product suggestions.
Analyze complex datasets to derive insights that guide strategic decisions.
Stay up to date with the latest machine learning developments and incorporate them into your work.
Qualifications
Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields with 0–1 year of work experience.
Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Thorough understanding of data structures and algorithms, with excellent problem‑solving ability.
Deep knowledge of machine learning, statistics, distributed computing, and big‑data engineering.
Preferred Qualifications
Demonstrated software engineering experience from prior internship, work, coding competitions, or publications.
Internship or research experience, especially in e‑commerce, recommendation, or search engines.
Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
Curiosity toward new technologies and entrepreneurship.
High levels of creativity and rapid problem‑solving capabilities.
Compensation & Benefits The base salary range for this position in the selected city is $112,725 – $177,840 annually. Compensation may vary based on qualifications, skills, and location. The total package may include discretionary bonuses, incentives, and restricted stock units.
Benefits cover medical, dental, vision insurance; a 401(k) plan with company match; paid parental leave; short‑ and long‑term disability; life insurance; wellbeing programs; 10 paid holidays; 10 paid sick days; and 17 paid personal days (prorated upon hire).
Legal & Compliance For Los Angeles County candidates, qualified applicants will be considered per federal, state, and local laws including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
ByteDance is committed to providing reasonable accommodations in recruitment for candidates with disabilities, pregnancy, or sincerely‑held religious beliefs. For assistance, visit https://tinyurl.com/RA-request.
#J-18808-Ljbffr