AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at Fieldwire. Remote, United States · $152,000–$220,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Adapt VLMs, LLMs, generative AI, RAG architectures, and agents to address construction-site challenges
- Curate data and check its quality so datasets can support automated model updates and improvements
- Deploy AI/ML solutions in a cloud environment with an agile team, enabling rapid prototyping and iteration
- Take assigned components from initial design through production release, then monitor them
- Build and tune high-performance machine-learning pipelines that turn raw data into useful insights
What you bring
- A portfolio showing AI/ML solutions or products you have built and put into use
- Strong grounding in computer vision, deep learning, and neural architectures
- Experience developing vision models for detection, segmentation, or classification, plus multimodal or spatial AI
- Production programming and deep-learning framework skills, including model efficiency and deployment across hardware
Who this fits
This role suits a mid-level engineer who can take AI/ML components through deployment and monitoring. It is fully remote within the United States.
From the employer
Who we’re looking for
We are revolutionizing construction site documentation through computer vision and AI-driven insights. Our platform enables intuitive navigation of job sites, facilitates seamless collaboration between field and office teams, and integrates with industry-leading project management tools.
As an AI/ML Engineer, you will leverage our extensive data lake to architect and deploy cutting-edge machine learning models that turn raw data into actionable intelligence. You will develop modern AI-driven solutions to provide customers with seamless, data-rich insights for enhanced jobsite understanding and collaboration. By building and optimizing high-performance ML pipelines, you will play a critical role in scaling our platform's capabilities and ensuring our system remains a leader in construction technology innovation.
What you’ll be doing
The primary responsibilities for our next AI / ML Engineer will be to:
- Demonstrate proficiency in machine learning frameworks and apply them to develop robust AI solutions.
- Use and adapt existing VLMs, LLMs, generative AI, RAG architectures, and agents to solve complex construction site challenges.
- Lead data curation and conduct rigorous data quality assessments to prepare datasets for continuous, automated model updates and improvements.
- Collaborate within an agile, multifaceted team to deploy solutions in a cloud environment, enabling fast prototyping and iteration.
- Take proactive ownership of your assigned components, from conception through to production deployment and monitoring.
At Fieldwire, we’re looking for our next AI / ML Engineer to have the following skills and experiences
- Ideally an MSc or Ph.D. in a related technical discipline.
- Proven technical expertise demonstrated through a portfolio of projects where you have built and deployed AI/ML solutions or products.
- Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures.
- Experience with modern AI/ML development, such as:
- Computer Vision & Perception: Experience developing and deploying advanced vision models for detection, segmentation, and classification to interpret complex visual data.
- Multimodal Systems: Ability to integrate and align vision, language, and other sensor data to create intelligent, context-aware applications.
- Spatial Intelligence: Familiarity with 3D scene understanding, reconstruction, or geometry-based AI techniques.
- Operational Competencies
- Proficiency in modern deep learning frameworks and production-grade programming.
- Experience optimizing models for performance and efficiency, particularly for resource-constrained environments.
- Understanding of deployment pipelines and model optimization for diverse hardware targets.
And if you have any of the following, we REALLY want you to apply today!
- Highly Motivated & Adaptable: You thrive in dynamic environments. When challenges pop up, you’re the first to step in, adapt, and solve them.
- Collaborative Team Player: You’re a natural team player who supports your peers—the kind of hero who steps in exactly when the team needs it most.
- Clear Communicator: You excel at bridging the gap between complex technical logic and actionable team insights.
- Drive: You approach technical hurdles with the focused determination of a main character in a classic training arc, always ready to power up, break through limits, and deploy your best work.
Compensation:
The estimated pay ranges for this role are as follows: $152,000 - $220,000
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 fully remote within the United States. 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.