Who We Are

We’re building AI that learns from the factory environment and turns that knowledge into better decisions on the floor. The point is simple: better decisions and better execution while the work is happening.

Our Palo Alto-based team brings experience from Stanford, BCG, Porter, and Mercedes-Benz. Our founders have built a unicorn and raised hundreds of millions from firms like Sequoia and Tiger Global. This is a chance to join a well-funded early-stage company already working with active design partners and a long waitlist of manufacturers eager to work with us.

We believe this is one of the largest unsolved opportunities in AI: building systems that help run the physical world. If you want to build AI that leaves the browser and changes how the physical world operates, you should talk to us.

The Role

We’re hiring an Applied AI Engineer to turn messy, real-world data into production intelligence. You’ll own backend-heavy AI systems end to end: multi-modal ingestion pipelines, retrieval and reasoning systems, evaluation loops, and APIs that directly drive real-world decisions. Frontend experience is optional, but a strong plus.

What You’ll Do

Design and ship system-level components that are fast, reliable, and observable
Build and own APIs that are clean, composable, and production-grade
Design evaluation and feedback loops that continuously improve model behavior
Work directly with customers and product to ship what actually moves metrics
Own reliability end to end: logging, crash capture, watchdogs, diagnostics

What We’re Looking For

Strong backend fundamentals and a bias for ownership. You build and you run what you ship
Highly driven, proactive, and uncomfortable with slow progress
Good taste in system design, especially around APIs and data flows
Experience shipping applied AI or ML systems to real users is a plus
Fluency in TypeScript, data systems, and cloud infrastructure
Comfortable operating in ambiguity, with urgency, in messy real-world environments

Bonus

Frontend experience (modern JS frameworks)

The anticipated base salary range for this position is $100,000–$300,000 annually. Actual compensation will depend on a variety of factors, including experience, skills, qualifications, and expected impact. In addition to base salary, this role includes a meaningful equity component. The salary range listed reflects Myto's good-faith estimate of the compensation range for this position at the time of posting.