Senior Machine Learning Engineer, Payments and Risk Control - San Jose, CA & Seattle, WA- Fast-Growing Global Company, Hybrid working, $300K-$500k+ Total Compensation
We have been working with our client for the last 3 years, placing numerous candidates. They are a fast-growing global app, focused on celebrating diverse voices and inspiring creativity. They have offices in Mountain View, Los Angeles, Seattle, New York, London, and more. Their mission is to connect people across the globe and bring joy through content creation.
In this role, you will work with Data Engineering, Data Science, and Machine Learning to optimize key payment risk metrics including fraud rate, chargeback rate, compliance rate, and more. You will be responsible for building and improving Machine Learning models to respond to and mitigate risks in the company's global payments products. Additionally, you will focus on up-leveling risk machine learning excellence on privacy/compliance, interoperability, risk perception, and analysis.
Opportunity to join a team where you will get to work with a passionate and dynamic group of professionals who are dedicated to providing the best payments services to billions of users worldwide.
As the ideal candidate you will have the following skills and experience:
- BS in Computer Science
- 4+ years of Machine Learning-related experience in trust and safety/risk management (or on a payments team)
- Experience in ML and Deep Learning models
- Proficient in Python, Java or Scala
- Experience with big data tools such as SQL, Hive and Spark
- Must have an interest and be willing to work on coding
APPLY NOW - INTERVIEWING IMMEDIATELY
Location: San Jose, CA and Seattle, WA
Salary: Excellent package on offer