Knowledge Graph ML Engineer – E-commerce & Recommendations

TikTok; San Jose (CA); Hybrid; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision Insurance

401(k) with company match

Parental Leave

Disability Insurance

Life Insurance

Wellbeing Benefits

Paid Holidays

Paid Sick Leave

Personal Time

Job summary

TikTok seeks new graduates to join the Knowledge Graph team in San Jose. You will work on building large knowledge graphs for e-commerce products, helping feed ranking, recommendations, and ads while collaborating with product managers and data scientists.

The role involves crafting knowledge graphs, product/content insights, and category/brand relationships, with opportunities to grow in a fast-paced, globally connected environment.

Qualifications

• Bachelor's degree in CS/Software Development or related field.
• Interest or exposure to ML, NLP, multimodal systems, and CV.
• Familiarity with C++, Python, Go or Java programming.
• Strong teamwork and communication skills.

Responsibilities

• Dive deep into building vast knowledge graphs for real-world products to aid feeds, ranking, and ads.
• Collaborate with product managers, data scientists, and cross-functional teams to craft product strategies.
• Create knowledge graphs for product/content insights and category/brand/SPU development.
• Architect knowledge maps detailing buyer-product connections.

Skills

Machine Learning

NLP

Multimodal Systems

Computer Vision

C++

Python

Go

Java

Teamwork

Communication

Education

Bachelor's degree in Software Development/Computer Science/Computer Engineering

Master's degree in Software Development/CS/Engineering

Tools

TensorFlow

PyTorch

Hadoop

Spark

Hive

Flink

Job description

TikTok seeks new graduates to join the Knowledge Graph team in San Jose. You will work on building large knowledge graphs for e-commerce products, helping feed ranking, recommendations, and ads while collaborating with product managers and data scientists.

The role involves crafting knowledge graphs, product/content insights, and category/brand relationships, with opportunities to grow in a fast-paced, globally connected environment.