Applied AI Engineer

Myto; Palo Alto (CA); On-site; USD 100,000 - 300,000; Full time

Benefits offered by this job

Equity

Job summary

Myto is hiring an Applied AI Engineer in Palo Alto to turn messy, real-world data into production intelligence. You will own backend-heavy AI systems, including multi-modal ingestion pipelines, retrieval and reasoning, evaluation loops, and APIs directly guiding real-world decisions.

Frontend is optional but a strong plus. The role emphasizes building fast, reliable system components, clean APIs, and end-to-end reliability.

Qualifications

• Strong backend fundamentals and ownership.
• Proactive, thrives in ambiguity and fast-moving environments.
• Experience shipping applied AI/ML systems to real users is a plus.

Responsibilities

• 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 improve model behavior.
• Collaborate with customers and product to ship impactful features.
• Own reliability end to end: logging, crash capture, diagnostics.

Skills

Backend fundamentals

Ownership mindset

API design

TypeScript

Cloud infrastructure

Ambiguity handling

Tools

APIs

Cloud platforms

Monitoring tools

Job description

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.