What You'll Do:

• Identify and scope product challenges that are ripe for data science and machine learning solutions - transaction understanding and categorization, merchant classification.
• Work cross-functionally to collect data, develop and train machine learning models, and integrate those models into realtime and offline production systems.
• Build the infrastructure that allows us to scale by optimizing data science workflows and ensuring data quality standards.

Who You Are:

• 5+ years of industry experience in relevant roles such as data scientist, machine learning engineer, or software engineer.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• Prior experience building production software systems, especially realtime machine learning systems.
• Prior experience building machine learning solutions for payment and receipt processing automations

Our Technologies:

These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.

• Golang
• Python
• Google Cloud Platform (GCP)
• Amazon Web Services (AWS)
• Kubernetes
• Protobuf / gRPC
• ElasticSearch

What We Offer:

• Competitive salary and equity
• Remote first, with an office in NYC as an option to come in
• 100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
• Flexible paid time off: take the time you need when you need it! Plus, get up to 10 days of paid sick leave per year
• Fully paid parental leave: up to 14 weeks for primary and 8 weeks for secondary caregivers
• Food, wellness, and office funds via our own Level product
• Quarterly company sponsored events
• Internal learning and development programs
• Have the chance to work at a leading innovator and trailblazer in the world of benefits and payments

This position has a minimum base salary of $170,000 and a midpoint base salary of $185,000. The base pay may vary depending on job-related knowledge, skills, and experience. In addition to a competitive base salary this position is also eligible for equity awards.