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

Job in Seattle, King County, Washington, 98127, USA
Listing for: ByteDance
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 118658 - 168150 USD Yearly USD 118658.00 168150.00 YEAR
Job Description & How to Apply Below
Position: Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP) -2026 Start[...]

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

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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. Additionally, they manage operations related to product tags and category attributes. When we come across a product, they determine whether it belongs to the clothing or sports category, who the product will be suitable for, etc.

Furthermore, the team conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others. They are also involved in brand recognition. This team plays a pivotal role, in bridging various aspects of our business and maintaining close collaboration with other teams.

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 Byte Dance.

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 Byte Dance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis – we encourage you to apply early.

Responsibilities
  • 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 our dedicated product managers, astute 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.
Qualifications

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 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 like C++, Python, Go, or Java.
  • Strong teamwork and communication skills. Any 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 like Hadoop/Spark/Hive/Flink.
Compensation

Compensation Description (Annually):
The base salary range for this position in the selected city is $118,658 – $168,150 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.

Location

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