Applied AI Engineer

- 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

- 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

- 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

- 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