E-Commerce Risk Management Specialist, Machine Learning

2 days ago


Seattle, Washington, United States Tik Tok Full time
About the Team
The Governance and Experience Algorithm team was established in September 2020 to support our most advanced AI technology businesses. Our main goal is to combat any kinds of risks/violations issues in e-commerce scenarios and build a healthy E-commerce ecosystem.

Salary
$160,000 - $220,000 per year, depending on experience.

Job Description
We are seeking an experienced E-Commerce Risk Management Specialist, Machine Learning to join our team. As a key member of our Governance and Experience Algorithm team, you will be responsible for identifying and optimizing algorithms that support our governance business.

Responsibilities
- Identify and optimize algorithms that support our governance business
- Collaborate with cross-functional teams to drive business results
- Develop and maintain technical documentation and processes

Required Skills and 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
- 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
- Good team spirit and strong communication skills

Benefits
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment

What We Offer
- A chance to work with a leading technology company in the e-commerce space
- Opportunities to learn and grow with a talented team
- A competitive compensation and benefits package

How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and a cover letter.

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