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 the lead and proactive ownership of your assigned components, from conception through production deployment and monitoring.
Demonstrate leadership by driving decisions, providing technical direction, mentoring team members, and fostering collaboration across teams and disciplines.

At Fieldwire, we’re looking for our next AI / ML Engineer to have the following skills and experiences

MSc or PhD in a relevant technical discipline, ideally combined with at least 5 years of experience leading AI/ML and optionally CV projects and providing technical direction to engineering teams.
Strong hands-on technical expertise, demonstrated through successfully designing, building, training, and deploying AI/ML solutions or products in production environments.
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%.