Applied AI Engineer

The role

You will own the model lifecycle from research to production. You will design, train, and deploy AI-powered features and integrate models into mobile and web products.

What you will do

• Design, train, and deploy AI-powered features like speech-to-text transcription, entity extraction, and classification
• Help shape evaluation and experimentation platform
• Work with messy, domain-specific data, shop-floor audio, unstructured repair notes, and scanned documents
• Integrate models directly into mobile and web products
• Work with full-stack engineers to get features into users' hands fast
• Experiment with model architectures, fine-tuning strategies, and data-cleaning approaches
• Monitor real-world performance in production for accuracy, latency, and cost efficiency
• Explore and prototype new AI capabilities from 0–1

Required qualifications

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

Nice to have

• Interest in applying AI to physical or “built world” environments
• Exposure to mobile-first or offline-first applications
• Founder or founding team experience

Benefits

• Competitive compensation + early-stage equity
• Medical, dental, and vision insurance
• 401k
• Generous home-office and equipment budget

About the company

Axle is rebuilding the back office of commercial vehicle operations with AI-native tools. Their products power real workflows for fleets and service providers.