Job Title: Applied AI Engineer

Company Name: Axle

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/gdxoeh0mtvgom78k

Job Description: Posted 6mo agoApplied AI Engineer@ AxleView All JobsWebsiteLos Angeles or San FranciscoRemoteFull TimeResponsibilities:Design AI features, Train and deploy models, Integrate models into productsRequirements Summary:2-5 years applied AI/ML engineering experience; strong Python; experience with speech-to-text or classification models; comfortable with unstructured, noisy real-world data; startup environment exposure.Technical Tools Mentioned:Python, ML/NLP frameworks, speech-to-text
About AxleAxle is rebuilding the back office of commercial vehicle operations with AI-native tools for the people who keep the world moving: drivers, technicians, service leaders, operators, and fleet managers. As trucks become electric, autonomous, and software-defined, the complexity behind the scenes, especially in repair and maintenance, is exploding. We’ve lived the problems we’re solving, we’re growing very quickly with real customers and revenue, and we’re backed by top investors like Base10.More About This RoleThis 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 DoDesign, train, and deploy AI-powered features like speech-to-text transcription, entity extraction, classification and help shape our evaluation and experimentation platformWork with messy, domain-specific data, shop-floor audio, unstructured repair notes, scanned documentsIntegrate models directly into Axle’s mobile and web products, working closely with full-stack engineers to get features into users’ hands fastRapidly experiment with model architectures, fine-tuning strategies, and data-cleaning approaches to improve accuracy and usabilityMonitor real-world performance in production, tuning for accuracy, latency, and cost efficiencyExplore and prototype new AI capabilities from 0–1 across a clear customer-approved roadmapWhat Makes You a Great Fit2-5 years of applied AI/ML engineering experience in an enterprise, startup, or product-focused settingStrong Python skills, with experience in ML/NLP frameworksHands-on experience with speech-to-text systems, or classification modelsComfortable working with unstructured, noisy datasets in real-world environmentsExcited to work at an early-stage startup where you’ll own projects end-to-end and ship quicklyCollaborative, curious, low egoBonus PointsInterest in applying AI to physical or “built world” environmentsExposure to mobile-first or offline-first applicationsFounder or founding team experience - you’ve been in and like working in small teamsWhat We OfferA product with real pull from customers, and a high-agency, close-knit teamCompetitive compensation + early-stage equityBenefits including medical, dental, and vision insurance + 401kA generous home-office and equipment budgetLA office in the Arts District and frequent team meetups