Applied AI Engineer
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Aug 11, 2025.
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