Who you are
You are an experienced ML engineer who combines deep modeling expertise with strong engineering judgment. You've owned ML systems in production, shipped multiple meaningful improvements, and made the people around you more effective. You move fast without breaking things, you're comfortable leading through ambiguity, and you're excited to work at the frontier of payments and AI, turning advances in machine learning into production systems that address new forms of fraud and abuse.
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 5+ years of experience developing, evaluating, and deploying machine learning models in a production environment.
- A track record of leading ML projects from problem definition to production, with measurable impact.
- Deep foundations in machine learning, statistics, model evaluation, and experiment design.
- Strong programming and software-engineering skills, with experience writing tested, maintainable code for production ML applications.
- Experience designing and operating production ML systems, including several of: large-scale data and feature pipelines, distributed model training, low-latency inference, model deployment, or production monitoring.
- Experience mentoring engineers or technically leading projects with multiple contributors.
- Ability to investigate ambiguous problems, reason from data, and choose pragmatic technical approaches.
- Ability to communicate technical ideas and results clearly and collaborate effectively across disciplines.