ByteDance is hiring: Machine Learning Engineer Graduate (E-Commerce Knowledge Gr

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–bridging various aspects of our business and maintaining close collaboration with other teams.

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.

Key Responsibilities

• 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 in an engineering or science discipline (e.g., Software Development, Computer Science, or Computer Engineering). Final‑year students are welcome.


• Must obtain and maintain work authorization in the country of employment at the time of hire.


• Passion or exposure to machine learning, NLP, multimodal systems, or computer vision.


• Familiarity with or coursework in 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 TensorFlow or PyTorch.


• Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs.


• Knowledge of domain adaptation, text mining, and unsupervised or semi‑supervised methodologies.


• Experience with machine learning and deep learning algorithms, and text representation methods.


• Experience with large‑scale text data processing or tools like Hadoop, Spark, Hive, or Flink.

Job Information

Compensation Description (Annually): The base salary range for this position in the selected city is $124,717 - $243,200 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, 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

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, and 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).

Legal Compliance and EEO Statements

• 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. Criminal history may be considered adverse and may result in the withdrawal of the conditional offer of employment for duties such as interacting with clients, handling confidential information, and exercising judgment.


• ByteDance is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request.