Applied AI Engineer

About Axle

Axle is rebuilding the back office of commercial vehicle operations with AI-native tools for the people who keep the world moving: technicians, service leaders, drivers, operators, fleet managers and executives.

Our products already power real workflows for fleets and service providers, and demand continues to accelerate as customers pull the product into their operations. We’re backed by top investors like Base10 and supported by industry leaders who see Axle as the blueprint for the future of fleet repair and maintenance operations.

• More About This Role
• This is an applied AI role: you’ll own the model lifecycle from research to production, work closely with product and engineering to get features into the hands of customers fast, and iterate based on immediate feedback from the field. The work you do will directly shape how the $160B fleet repair industry is managed in the next decade.

What You’ll Do

Design, train, and deploy AI-powered features like speech-to-text transcription, entity extraction, classification and help shape our evaluation and experimentation platform

Work with messy, domain-specific data, shop-floor audio, unstructured repair notes, scanned documents

Integrate models directly into Axle’s mobile and web products, working closely with full-stack engineers to get features into users’ hands fast

Rapidly experiment with model architectures, fine-tuning strategies, and data-cleaning approaches to improve accuracy and usability

Monitor real-world performance in production, tuning for accuracy, latency, and cost efficiency

Explore and prototype new AI capabilities from 0–1 across a clear customer-approved roadmap

What Makes You a Great Fit

2-5 years of applied AI/ML engineering experience in an enterprise, startup, or product-focused setting

Strong Python skills, with experience in ML/NLP frameworks

Hands-on experience with speech-to-text systems, or classification models

Comfortable working with unstructured, noisy datasets in real-world environments

Excited to work at an early-stage startup where you’ll own projects end-to-end and ship quickly

Collaborative, curious, low ego

Bonus Points

Interest in applying AI to physical or “built world” environments

Exposure to mobile-first or offline-first applications

Founder or founding team experience - you’ve been in and like working in small teams

What We Offer

A product with real pull from customers, and a high-agency, close-knit team

Competitive compensation + early-stage equity

Benefits including medical, dental, and vision insurance + 401k

A generous home-office and equipment budget

LA office in the Arts District and frequent team meetups