{"id":2960489,"url":"https://alion.io/job/fieldwire-mid-level-ai-machine-learning-engineer","title":"Mid-Level AI & Machine Learning Engineer","company":{"id":95137,"name":"Fieldwire","domain":"fieldwire.com","url":"https://alion.io/company/fieldwire","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":195000,"currency":"USD","period":"year","gross":null,"usd_annual":195000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"Ruby on Rails","optional":false},{"name":"Rust","optional":false},{"name":"Transfer Learning","optional":false},{"name":"JavaScript","optional":true},{"name":"Ruby","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-20T22:13:51Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T21:25:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who we’re looking for \nAs a Mid-Level AI & Machine Learning Engineer, you will be joining a team of talented and passionate engineers focused on creating the next generation of AI features to make Fieldwire the World’s best Construction Management Platform! Your role will focus on adapting existing models, running models in our own infrastructure, as well as extracting and categorizing meaningful information from complex documents, PDFs and images. Your work building core AI features and services will directly impact all of our 1 million end users. If you have strong experience in delivering impactful AI solutions while ensuring applications remain secure, scalable, and performant, Fieldwire wants to talk to you! \nWhat you’ll be doing \nThe primary responsibilities of our next Mid-Level AI & Machine Learning Engineer will be to: \nArchitect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities \nEvaluate & select open-source models, adapt them to our domain specific cases through fine-tuning, transfer learning and lightweight training \nDeploy and operate models within our own infrastructure, including GPU-backed environments with a strong focus on inference performance, resource utilization, throughput & latency \nDevelop solutions for image understanding, visual object detection, classification and segmentation \nExtract and interpret information from PDFs, scanned documents, images, and other complex visual content, combining OCR, document layout analysis, and multimodal models \nApply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows, leveraging context to power smarter product experiences \nDebug production issues across services and multiple levels of the stack \nWork to improve our Engineering standards, tooling, and processes \nAt Fieldwire, we’re looking for our next Mid-Level AI & Machine Learning Engineer to have the following skills and experiences: \nBachelor’s or Master’s degree in Computer Science or equivalent work experience \n3+ years experience in a Fullstack, Backend, AI Engineering, or Machine Learning role \nStrong practical experience in machine learning, including training, evaluating, and deploying models \nHands-on experience with computer vision and image-processing techniques \nKnowledge of modern toolchain used for developing high-quality applications \nExpert at writing clean, well-tested, and modular code \nAnd if you have any of the following, we REALLY want you to apply today! \nExperience working with pretrained models and adapting them to domain-specific tasks through fine-tuning and transfer learning. \nUnderstanding modern model architectures, including transformers and vision-language models. \nExperience with image and document processing, including OCR, document layout analysis, or extracting structured information from PDFs and images. \nExperience building production systems preferably in Rust, Ruby on Rails or Angular \nCompensation: \nThe estimated pay ranges for this role are as follows: $170,000.00 - $195,000.00 \nThe salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications, and experience. In addition to the salary, you may be eligible for a corporate bonus which can range up to 30%. \nWhy Fieldwire? \nThe field-first construction platform for less busywork and more building. Trusted on 4M+ projects worldwide, Fieldwire by Hilti gives crews reliable access to plans, tasks, and updates on one simple platform. It unites the field and office around a single, transparent source of truth, keeping teams aligned from start to finish. Designed for easy adoption, crews gain real-time visibility into progress, clear ownership of work, and the context to make confident decisions. As part of the Hilti Group, Fieldwire combines deep construction expertise with modern digital innovation to deliver better outcomes on every job. Learn more at Fieldwire.com. \nWhere is the job located? \nThis role ishybrid in San Francisco, California. Our headquarters are based in beautiful San Francisco and our office is centrally located right off of Embarcadero Bart station. \n-- \nFieldwire is proud to be an Equal Opportunity Employer. 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