Job Description
We are seeking a highly skilled Machine Learning Architect to lead the development and deployment of fraud detection models that prevent revenue leakage across various monetization channels.
The ideal candidate will have experience in building and deploying machine learning models in production environments, comfortable working across the ML lifecycle, strategic thinking, strong product sense and empathy for both internal and external users, strong communication skills, hands-on experience building complex internal tools and user-facing flows at scale, and a strong grasp of core CS fundamentals, system design, and architecture.
As a Machine Learning Architect, you will be responsible for:
* Developing and deploying fraud detection models to prevent revenue leakage.
* Collaborating with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.
* Shaping our fraud ML strategy using a strong product + platform mindset.
* Architecting, building, and maintaining ML systems that underpin fraud detection and response.
Requirements
To succeed in this role, you will need:
* Experience in building and deploying machine learning models in production environments.
* Strong understanding of core CS fundamentals, system design, and architecture.
* Hands-on experience building complex internal tools and user-facing flows at scale.
* Strategic thinking and ability to work across the ML lifecycle.
* Strong product sense and empathy for both internal and external users.
Benefits
We offer a range of benefits to support your success:
* Equity packages.
* Inclusive parental leave policy.
About Us
We celebrate all types of skills and backgrounds at our company. We make hiring decisions based on your experience, skills, and passion, as well as how you can enhance our business and culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.