Mid-Level AI & Machine Learning Engineer
Fieldwire · San Francisco, CA (Hybrid)
About this role
**Mid-Level AI & Machine Learning Engineer — Fieldwire** **Who we’re looking for** Join a team of engineers building the next generation of AI features for Fieldwire, the world’s best construction management platform. You’ll adapt existing models, run them in Fieldwire’s infrastructure, and extract/categorize meaningful information from complex documents, PDFs, and images—helping power AI features used by ~1M end users. **What you’ll be doing** - Architect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities - Evaluate and select open-source models; adapt them to domain-specific cases via fine-tuning, transfer learning, and lightweight training - Deploy and operate models in your own infrastructure (GPU-backed), with a focus on inference performance, resource utilization, throughput, and latency - Build solutions for image understanding (visual object detection, classification, and segmentation) - Extract and interpret information from PDFs, scanned documents, images, and other complex visual content (OCR, document layout analysis, multimodal models) - Apply AI/computer vision to surface relevant, context-aware information within users’ workflows - Debug production issues across services and multiple layers of the stack - Improve engineering standards, tooling, and processes **Skills & experience we’re looking for** - Bachelor’s or Master’s degree in Computer Science (or equivalent experience) - 3+ years experience in Fullstack, Backend, AI Engineering, or Machine Learning - Strong practical experience training, evaluating, and deploying ML models - Hands-on experience with computer vision and image-processing techniques - Knowledge of modern toolchains for high-quality application development - Ability to write clean, well-tested, modular code **Bonus (strongly preferred)** - Experience adapting pretrained models to domain-specific tasks (fine-tuning, transfer learning) - Understanding modern architectures (transformers, vision-language models) - Experience with image/document processing (OCR, document layout analysis, structured extraction from PDFs/images) - Experience building production systems (preferably Rust, Ruby on Rails, or Angular) **Compensation** - Estimated pay range (US): **$170,000.00 – $195,000.00** - Salary may vary by location and factors like skills, qualifications, and experience - Bonus eligibility: **up to 30%**
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