Machine Learning Graduate; eCommerce Recommendation BS​/MS

Machine Learning Graduate (eCommerce Recommendation) - 2026 Start (BS/MS)

Byte Dance

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Team Introduction:
Our E‑commerce Recommendation Team is responsible for building and scaling our recommendation system to provide the best shopping experience for our Tik Tok users.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co‑create a future driven by your inspiration with Byte Dance.

Successful candidates must be able to commit to an onboarding date by the 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 Byte Dance and its affiliates’ jobs globally. Applications will be reviewed on a rolling basis — we encourage you to apply early.

• 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 recommendations, live‑stream recommendations, short‑video recommendations, etc., in Tik Tok
• Build long‑ and short‑term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users’ latent interests efficiently
• Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety

• Bachelor’s degree or above (or expected by 2026) in Computer Science, related technical field, or equivalent industrial research experience with 0‑1 year of work experience
• Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large‑scale data mining, or related fields preferred
• Familiar with at least one of the mainstream deep learning frameworks, such as Tensor Flow or Py Torch
• Passionate about solving complex and challenging problems
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

The base salary range for this position in the selected city is $112,725 – $177,840 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these 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 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. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
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