AI/ML Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $152k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Fieldwire by Hilti

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📦 Logistics

🏭 Manufacturing

🏗️ Construction

Logistics • Manufacturing • Construction

Fieldwire by Hilti is a comprehensive jobsite management software solution designed for construction teams. It facilitates collaboration among project teams, including foremen and project managers, by providing tools for field management, task assignments, scheduling, and real-time updates. The platform allows for efficient coordination on construction projects by ensuring all team members work from up-to-date drawings and documents, reducing risk with indisputable records of work performed. Fieldwire also integrates easily with other apps and is accessible on multiple devices, catering to general and specialty contractors, owners, architects, and designers. It supports project management needs such as reporting, document management, and scheduling through a user-friendly interface that scales from small to mega projects. As part of Hilti Construction Software, Fieldwire is trusted by some of the largest construction companies worldwide for managing over 2,000,000 jobsites.

📋 Description

• Architect and deploy machine learning models that turn raw construction site captures into actionable intelligence • Develop AI-driven solutions providing data-rich insights for jobsite understanding and collaboration • Build and optimize high-performance ML pipelines to scale the platform’s capabilities • Apply machine learning frameworks to develop robust AI solutions • Use and adapt VLMs, LLMs, generative AI, RAG architectures, and agents for construction site challenges • Lead data curation and rigorous data quality assessments for continuous, automated model updates and improvements • Collaborate within an agile, multifaceted team to deploy solutions in a cloud environment • Own assigned components from conception through production deployment and monitoring

🎯 Requirements

• Proven technical expertise demonstrated through a portfolio of built and deployed AI/ML solutions or products • Strong background in Computer Vision, Core Deep Learning, and Neural Architectures • Experience developing and deploying advanced vision models for detection, segmentation, and classification • Ability to integrate and align vision, language, and other sensor data • 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 in resource-constrained environments • Understanding of deployment pipelines and model optimization for diverse hardware targets • MSc or Ph.D. in a related technical discipline is stated as ideal, not required

🏖️ Benefits

• Corporate bonus eligibility of up to 30% • Fully remote work within the United States