Summary
Fieldwire by Hilti is a construction technology company revolutionizing jobsite documentation with 360° video capture, computer vision, and AI-driven insights. The AI/ML Engineer will architect and deploy machine learning models and high-performance pipelines that transform site captures into actionable intelligence, while developing, optimizing, deploying, and monitoring AI solutions for construction site understanding and collaboration.
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
Skills
- 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 developing and deploying advanced vision models for detection, segmentation, and classification to interpret complex visual data
- Ability to integrate and align vision, language, and other sensor data to create intelligent, context-aware applications
- Familiarity with 3D scene understanding, reconstruction, or geometry-based AI techniques
- 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
- You thrive in dynamic environments. When challenges pop up, you're the first to step in, adapt, and solve them
- You're a natural team player who supports your peers—the kind of hero who steps in exactly when the team needs it most
- You excel at bridging the gap between complex technical logic and actionable team insights
- 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
- This role is fully remote within the United States
- Ideally an MSc or Ph.D. in a related technical discipline
Qualifications
Must Haves
- 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 developing and deploying advanced vision models for detection, segmentation, and classification to interpret complex visual data
- Ability to integrate and align vision, language, and other sensor data to create intelligent, context-aware applications
- Familiarity with 3D scene understanding, reconstruction, or geometry-based AI techniques
- 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
- You thrive in dynamic environments. When challenges pop up, you're the first to step in, adapt, and solve them
- You're a natural team player who supports your peers—the kind of hero who steps in exactly when the team needs it most
- You excel at bridging the gap between complex technical logic and actionable team insights
- 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
- This role is fully remote within the United States
Nice to Haves
- Ideally an MSc or Ph.D. in a related technical discipline
Benefits
- Eligible for a corporate bonus which can range up to 30%.
- This role is fully remote within the United States.