AI/ML Engineer

fieldwire · San Francisco, CA (Hybrid) or United States (Remote) · United States - Fieldwire

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:  <ul> <li>Demonstrate proficiency in machine learning frameworks and apply them to develop robust AI solutions.</li> <li>Use and adapt existing VLMs, LLMs, generative AI, RAG architectures, and agents to solve complex construction site challenges.</li> <li>Lead data curation and conduct rigorous data quality assessments to prepare datasets for continuous, automated model updates and improvements.</li> <li>Collaborate within an agile, multifaceted team to deploy solutions in a cloud environment, enabling fast prototyping and iteration.</li> <li>Take proactive ownership of your assigned components, from conception through to production deployment and monitoring.</li> </ul>  At Fieldwire, we’re looking for our next AI / ML Engineer to have the following skills and experiences  <ul> <li>Ideally an MSc or Ph.D. in a related technical discipline.</li> <li>Proven technical expertise demonstrated through a portfolio of projects where you have built and deployed AI/ML solutions or products.</li> <li>Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures.</li> <li>Experience with modern AI/ML development, such as: <ul> <li>Computer Vision & Perception: Experience developing and deploying advanced vision models for detection, segmentation, and classification to interpret complex visual data.</li> <li>Multimodal Systems: Ability to integrate and align vision, language, and other sensor data to create intelligent, context-aware applications.</li> <li>Spatial Intelligence: Familiarity with 3D scene understanding, reconstruction, or geometry-based AI techniques.</li> </ul> </li> <li>Operational Competencies <ul> <li>Proficiency in modern deep learning frameworks and production-grade programming.</li> <li>Experience optimizing models for performance and efficiency, particularly for resource-constrained environments.</li> <li>Understanding of deployment pipelines and model optimization for diverse hardware targets.</li> </ul> </li> </ul> And if you have any of the following, we REALLY want you to apply today!  <ul> <li>Highly Motivated & Adaptable: You thrive in dynamic environments. When challenges pop up, you’re the first to step in, adapt, and solve them. </li> <li>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. </li> <li>Clear Communicator: You excel at bridging the gap between complex technical logic and actionable team insights. </li> <li>Drive: You approach technical hurdles with the focused determinati

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