Senior Machine Learning Engineer

📋 Description

• Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an
• Build and maintain the data layer: Build lightweight data pipelines and new dbt tables to get raw
• Drive measurable business impact: Lead the exploration and implementation of new ML applications in
• Write clean, maintainable code in our stack with the help of AI: We build on an event-driven
• Partner closely with Engineering, Product, Operations, and Business teams to design reliable
• Provide excellent metrics and visibility into model quality, bias, and performance to assess how

🎯 Requirements

• Experienced: 5+ years experience applying Machine Learning methods to production problems. We
• Full-stack with data: You're comfortable starting from a raw, unrefined data source that no one has
• Builder with a Business Mindset: You like the product-side of data and think about how to apply
• Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful
• Curious: You are not just an order-taker. You are curious about what makes the business tick and

🎁 Benefits

• Compensation: Top of market salary + equity
• Time Off: 3 weeks PTO + 6 federal holidays
• Insurance: Medical, dental, vision, life, disability, HSA, FSA
• Retirement: 401(k)
• Perks: Free snacks, team lunches, collaborative office culture