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About the Role
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
- 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 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.
- 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.
- Highly Motivated & Adaptable: Thrive in dynamic environments and solve challenges.
- Collaborative Team Player: Support peers and step in when the team needs it most.
- Clear Communicator: Excel at bridging the gap between complex technical logic and actionable team insights.
- Drive: Approach technical hurdles with focused determination.
Skills
- Machine learning frameworks
- VLMs
- LLMs
- Generative AI
- RAG architectures
- Agents
- Computer Vision (CV)
- Core Deep Learning
- Neural Architectures
- Computer Vision & Perception
- Multimodal Systems
- Spatial Intelligence
- Deep learning frameworks
- Production-grade programming
- Model optimization
- Deployment pipelines
- Agile methodologies
Location
- United States
Work Type
- Fully remote
Experience Level
- Mid-level
Education Level
- MSc or Ph.D.
Salary/Compensations
- $152,000 - $220,000
Benefits
- Corporate bonus 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.
Equal Opportunity
- Fieldwire is proud to be an Equal Opportunity Employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other characteristic protected by law.