（General Hire）Machine Learning Engineer Graduate (E-Commerce)- 2026 Start (Phd)
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About this role
Job Description
We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.
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. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Design and implement cutting-edge machine learning algorithms.
- Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and 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, incorporating them into your work.
Qualifications
- Bachelor's degree or above in computer science or related field.
- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++.
- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.
- Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.
- Excellent analytical and problem-solving skills, passionate about challenging problems.
- Good team spirit and strong communication skills.
- Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred.
General Hire Information
If you see the “general hire” in the title of this position, it means that the position is for multiple departments. After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring managers based on your interview results.
The department this position is considered for include but are not limited to:
- E-commerce-Affiliate-Global E-commerce
- E-commerce-Recommendation and Marketing-Global E-commerce
- E-commerce-Platform Governance
- E-commerce-Conversational AI-Global E-commerce
- E-commerce-Knowledge Graph
- E-commerce-Supply Chain and Logistics