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Mid-Level AI & Machine Learning Engineer
Fieldwire by HiltiPosted 10/20/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $170,000 - $195,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI foundations and computer vision techniques, with a strong focus on deploying and optimizing models in production environments. Proficient in fine-tuning pretrained models and extracting information from complex visual content.
Highest-signal resume keywords
Machine LearningComputer VisionModel DeploymentImage ProcessingFullstack Development
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Architect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities
- Evaluate and select open-source models and adapt them to domain-specific cases through fine-tuning, transfer learning, and lightweight training
- Deploy and operate models within Fieldwire’s infrastructure, including GPU-backed environments
- Optimize inference performance, resource utilization, throughput, and latency
- Develop solutions for image understanding, visual object detection, classification, and segmentation
- Extract and interpret information from PDFs, scanned documents, images, and other complex visual content using OCR, document layout analysis, and multimodal models
- Apply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows
- Debug production issues across services and multiple levels of the stack
- Improve Engineering standards, tooling, and processes
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science or equivalent work experience
- 3+ years experience in a Fullstack, Backend, AI Engineering, or Machine Learning role
- Strong practical experience in machine learning, including training, evaluating, and deploying models
- Hands-on experience with computer vision and image-processing techniques
- Knowledge of modern toolchain used for developing high-quality applications
- Expert at writing clean, well-tested, and modular code
- Experience working with pretrained models and adapting them to domain-specific tasks through fine-tuning and transfer learning
- Understanding modern model architectures, including transformers and vision-language models
- Experience with image and document processing, including OCR, document layout analysis, or extracting structured information from PDFs and images
- Experience building production systems preferably in Rust, Ruby on Rails or Angular
Benefits
Comp & perks- Corporate bonus eligibility up to 30%
- Equal employment opportunity regardless of protected characteristics
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComputer VisionModel Fine-TuningImage ProcessingOCRDocument Layout AnalysisTransformersVision-Language ModelsRustRuby on Rails
Soft Skills
Problem-SolvingCollaborationDebugging
Tools & Technologies
GPU-Backed EnvironmentsModern Toolchain
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science
Industry Keywords
AI FoundationsVisual Object DetectionClassificationSegmentationProduction Systems