{"id":834977,"url":"https://alion.io/job/axlemobility-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":671075,"name":"Axle Mobility","domain":"axlemobility.com","url":"https://alion.io/company/axlemobility","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Los Angeles, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Offline-First","optional":true}],"status":"live","first_seen_at":"2025-08-11T22:58:53Z","employer_posted_date":"2025-08-11","last_verified_at":"2026-11-04T15:35:21Z","board_verified":true,"closed_at":null,"days_open":449,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":449},"description":"About Axle\nAxle 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.\nOur 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.\nMore About This Role\n 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.\nWhat You’ll Do\nDesign, train, and deploy AI-powered features like speech-to-text transcription, entity extraction, classification and help shape our evaluation and experimentation platform\n\nWork with messy, domain-specific data, shop-floor audio, unstructured repair notes, scanned documents\n\nIntegrate models directly into Axle’s mobile and web products, working closely with full-stack engineers to get features into users’ hands fast\n\nRapidly experiment with model architectures, fine-tuning strategies, and data-cleaning approaches to improve accuracy and usability\n\nMonitor real-world performance in production, tuning for accuracy, latency, and cost efficiency\n\nExplore and prototype new AI capabilities from 0-1 across a clear customer-approved roadmap\n\nWhat Makes You a Great Fit\n2-5 years of applied AI/ML engineering experience in an enterprise, startup, or product-focused setting\n\nStrong Python skills, with experience in ML/NLP frameworks\n\nHands-on experience with speech-to-text systems, or classification models\n\nComfortable working with unstructured, noisy datasets in real-world environments\n\nExcited to work at an early-stage startup where you’ll own projects end-to-end and ship quickly\n\nCollaborative, curious, low ego\n\nBonus Points\nInterest in applying AI to physical or “built world” environments\n\nExposure to mobile-first or offline-first applications\n\nFounder or founding team experience - 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