AI/ML Engineer

About the role

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

• 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.

Requirements

• 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.

Skills

• 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.

Nice to have

• 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.

Pay

The estimated pay range for this role is $152,000 – $220,000. The actual salary offer will consider your skills, qualifications, and experience. In addition, you may be eligible for a corporate bonus up to 30%.

Schedule

This role is fully remote within the United States.