AI/ML Engineer
Role overview
We are revolutionizing construction site documentation through 360° video capture, 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 site captures 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.
Responsibilities
- check_circle Demonstrate proficiency in machine learning frameworks and apply them to develop robust AI solutions.
- check_circle Use and adapt existing VLMs, LLMs, generative AI, RAG architectures, and agents to solve complex construction site challenges.
- check_circle Lead data curation and conduct rigorous data quality assessments to prepare datasets for continuous, automated model updates and improvements.
- check_circle Collaborate within an agile, multifaceted team to deploy solutions in a cloud environment, enabling fast prototyping and iteration.
- check_circle Take proactive ownership of your assigned components, from conception through to production deployment and monitoring.
Basic qualifications
- 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:
Preferred qualifications
- 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
Benefits
- check_circle The estimated pay ranges for this role are as follows: $152,000 - $220,000
- check_circle In addition to the salary you may be eligible for a corporate bonus which can range up to 30%.
About the company
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.
Tags & Focus Areas
About Fieldwire
Ready to Join the Team?
Apply once with DevFound — we route your profile to Fieldwire and keep you posted on matching AI roles.