Machine Learning Engineer Graduate; E-Commerce Graph - CV​/Multimodal​/NLP

Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP)
-2026 Start (BS/MS)

Location:

San Jose

Team:
Technology

Employment Type:

Regular

Job Code: A249268B

• Team Introduction:
  The Knowledge Graph team is responsible for the neural network of e-commerce, which includes tasks such as categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. The team manages operations related to product tags and category attributes, determines whether a product belongs to a category, identifies suitable target customers, and conducts competitive research to identify top‑performing items and analyze why certain products outperform others.
  
  They are also involved in brand recognition and maintain close collaboration with other teams.
• Co‑create a future driven by your inspiration with Byte Dance (note: candidates should be ready to commit to an onboarding date by the end of 2026; please state availability and graduation date clearly in your resume).
• Dive deep into the construction and development of vast knowledge graphs that encapsulate real‑world products, aiding in feed ranking, recommendations, and ads.
• Collaborate closely with dedicated product managers, data scientists, and the strategic product & operation team to craft forward‑thinking product strategies and features.
• Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development.
• Architect knowledge maps detailing buyer and product connections.

• Minimum Qualifications:
  • Bachelor's degree or above final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision.
  • Familiarity with or coursework related to programming languages such as C++, Python, Go, or Java.
  • Strong teamwork and communication skills. Hands‑on experience or group projects in relevant technical scenarios will be a plus.
• Preferred Qualifications:
  • Familiarity with deep learning frameworks like Tensor Flow/PyTorch.
  • Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs.
  • Knowledge of domain adaptation, text mining, and unsupervised/semi‑supervised methodologies.
  • Experience with machine learning and deep learning algorithms, and text representation methods.
  • Exposure to large‑scale text data processing or tools such as Hadoop, Spark, Hive, or Flink.

The base salary range for this position in the selected city is $118,657 - $187,200 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. 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.

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…