Job description

Who we’re looking for As 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! What you’ll be doing The primary responsibilities of our next Mid-Level AI & Machine Learning Engineer will be to: Architect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities Evaluate & select open-source models, adapt them to our domain specific cases through fine-tuning, transfer learning and lightweight training Deploy and operate models within our own infrastructure, including GPU-backed environments with a strong focus on inference performance, resource utilization, throughput & 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, combining OCR, document layout analysis, and multimodal models Apply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows, leveraging context to power smarter product experiences Debug production issues across services and multiple levels of the stack Work to improve our Engineering standards, tooling, and processes At Fieldwire, we’re looking for our next Mid-Level AI & Machine Learning Engineer to have the following skills and experiences: 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 And if you have any of the following, we REALLY want you to apply today! 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 Compensation: The estimated pay ranges for this role are as follows: $170,000.00 - $195,000.00 The 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%. Why Fieldwire? The 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. Where is the job located? This role is hybrid in San Francisco, California . Our headquarters are based in beautiful San Francisco and our office is centrally located right off of Embarcadero Bart station. -- Fieldwire is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other characteristic protected by law.

Requirements

Must-haves

Who we’re looking for
What you’ll be doing
The primary responsibilities of our next Mid-Level AI & Machine Learning Engineer will be to:
Architect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities
Evaluate & select open-source models, adapt them to our domain specific cases through fine-tuning, transfer learning and lightweight training
Deploy and operate models within our own infrastructure, including GPU-backed environments with a strong focus on inference performance, resource utilization, throughput & 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, combining OCR, document layout analysis, and multimodal models
Apply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows, leveraging context to power smarter product experiences
Debug production issues across services and multiple levels of the stack
Work to improve our Engineering standards, tooling, and processes
At Fieldwire, we’re looking for our next Mid-Level AI & Machine Learning Engineer to have the following skills and experiences:
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
And if you have any of the following, we REALLY want you to apply today!
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

Nice-to-haves

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Keywords to mirror

aimachine learningrustangular

Platform: greenhouse
Effort: quick

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