Mid-Level AI & Machine Learning Engineer

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.

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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.