Mid-Level AI & Machine Learning Engineer

Fieldwire is building AI foundations that help turn construction documents and images into usable information inside its platform. As a Mid-Level AI & Machine Learning Engineer, you will adapt and deploy AI models for document and image understanding, with a focus on model performance in production and context-aware outputs that fit users’ workflows.

This hybrid role is based in San Francisco, California, with Fieldwire’s headquarters centrally located off Embarcadero BART.

What you will do

• Architect, build, and maintain AI foundations across the full stack, embedding capabilities into core platform functionality
• Evaluate and select open-source models, then adapt them to domain-specific use cases using fine-tuning, transfer learning, and lightweight training
• Deploy and operate models in Fieldwire’s infrastructure, including GPU-backed environments with an emphasis on inference performance, resource utilization, throughput, and latency
• Build solutions for image understanding, including visual object detection, classification, and segmentation
• Extract and interpret information from PDFs, scanned documents, images, and other complex visual content by combining 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
• Contribute to improving engineering standards, tooling, and processes

Required qualifications

• Bachelor’s or Master’s degree in Computer Science (or equivalent work experience)
• 3+ years of experience in a Fullstack, Backend, AI Engineering, or Machine Learning role
• Practical experience in machine learning, including training, evaluating, and deploying models
• Hands-on experience with computer vision and image-processing techniques
• Knowledge of modern toolchains used to develop high-quality applications
• Strong ability to write clean, well-tested, and modular code

Technologies you may work with

• Open-source models, fine-tuning, transfer learning
• OCR, document layout analysis, multimodal models
• Transformers, vision-language models
• GPU-backed environments
• Rust, Ruby on Rails, Angular

Preferred 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, such as OCR, document layout analysis, or extracting structured information from PDFs and images
• Experience building production systems, preferably in Rust, Ruby on Rails, or Angular

Compensation

• Estimated pay range: $170,000 - $195,000 per year
• Actual salary offer will consider factors including skills, qualifications, and experience

Benefits

• Corporate bonus with a range up to 30%