AI/ML Engineer

About the role

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:

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- 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