Software Engineer, Machine Learning Operations

Required

• Experience: 2 to 6 years of software engineering with a focus on machine learning and/or computer vision. We want someone with true end-to-end experience: you've taken models from raw data to production and owned what happens after they ship.
• Both Sides: Strong software engineering fundamentals plus hands-on ML. You write production-quality code and you train and debug models. The two overlap, and we want someone comfortable across both.
• Full Lifecycle: You've owned models beyond the notebook: trained, deployed, monitored, and iterated in production.
• Real CV depth. Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model. You're not reaching for a transformer when a filter will do.
• The Interview Process
• We're a selectively small team, which means a deliberate and thorough interview process with 3-4 interviews and a final paid work trial. In exchange, you get real autonomy from day one, direct access to the people setting technical direction, and work that ships to roads in weeks, not quarters.
• The Essentials (Health & Wealth)
• Relocation Support: We are excited for you to join the team at our engineering office in Denver. We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.
• Personalized Health Coverage (ICHRA): We don’t believe in one-size-fits-all healthcare. We provide a monthly allowance for you and dependents so you can choose the individual plan that actually fits your life.
• Investing in Your Future: 401(k) matching up to 4%.
• Peace of Mind: Transparent compensation. Company-sponsored life & disability insurance.
• Early Stage Equity: Competitive equity package. Every year, we facilitate a tender process that gives you the opportunity to sell your vested shares at the same valuation as our investors.