AI / ML Engineer

About The Company

Fieldwire is revolutionizing construction site documentation through advanced computer vision and AI-driven insights. Our platform empowers construction teams by enabling intuitive navigation of job sites, facilitating seamless collaboration between field and office personnel, and integrating with industry-leading project management tools. Trusted on over 4 million projects worldwide, Fieldwire is the field-first construction platform designed to reduce busywork and increase building efficiency. As part of the Hilti Group, we combine deep construction expertise with modern digital innovation to deliver superior outcomes on every job. Our headquarters are located in San Francisco, California, and we offer fully remote opportunities within the United States.

About The Role

We are seeking an experienced AI/ML Engineer to join our dynamic team and help drive the future of construction technology innovation. In this role, you will leverage our extensive data lake to design, build, and deploy cutting-edge machine learning models that transform raw data into actionable intelligence. Your work will enable customers to gain seamless, data-rich insights for enhanced jobsite understanding and collaboration. You will develop and optimize high-performance ML pipelines, ensuring our platform remains scalable and at the forefront of AI-driven construction solutions. This role requires proactive ownership, technical leadership, and collaboration within an agile, multidisciplinary environment.

Qualifications

• MSc or PhD in a relevant technical discipline, with at least 5 years of experience leading AI/ML projects, preferably including computer vision initiatives.

• Strong hands-on expertise in designing, building, training, and deploying AI/ML solutions in production environments.

• Deep knowledge of Computer Vision, Core Deep Learning, and Neural Network architectures.

• Experience with modern AI/ML development including:

• Advanced vision models for detection, segmentation, and classification.

• Multimodal systems integrating vision, language, and sensor data.

• Spatial intelligence techniques such as 3D scene understanding and reconstruction.

• Proficiency in deep learning frameworks and production-grade programming languages.

• Expertise in optimizing models for performance and efficiency, especially in resource-constrained environments.

• Familiarity with deployment pipelines and model optimization for diverse hardware targets.

• Strong leadership skills including mentoring, technical direction, and cross-team collaboration.

• Highly motivated, adaptable, and a collaborative team player with excellent communication skills.

Responsibilities

• Develop and apply machine learning frameworks to create robust AI solutions tailored to construction site challenges.
• Utilize and adapt existing Vision-Language Models (VLMs), Large Language Models (LLMs), generative AI, Retrieval-Augmented Generation (RAG) architectures, and agents.
• Lead data curation efforts and conduct rigorous data quality assessments to prepare datasets for continuous automated model updates and improvements.
• Collaborate within an agile, cross-functional team to deploy AI/ML solutions in cloud environments, enabling rapid prototyping and iteration.
• Take full ownership of assigned components from initial conception through production deployment and ongoing monitoring.
• Provide technical leadership by driving key decisions, mentoring team members, and fostering collaboration across engineering and product teams.
• Optimize machine learning models and pipelines for scalability, efficiency, and performance.

Benefits

• Competitive salary range from $152,000 to $220,000, commensurate with experience and qualifications.
• Eligibility for a corporate bonus of up to 30%.
• Fully remote work opportunity within the United States.
• Access to cutting-edge technology and large-scale data resources.
• Collaborative and innovative work environment.
• Opportunities for professional growth and leadership development.
• Comprehensive benefits package (details provided upon hiring).

Equal Opportunity

Fieldwire is proud to be an Equal Opportunity Employer. We are committed to providing equal employment opportunities 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. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.