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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** FIELDWIRE LLC - **Location:** San Francisco, CA, United States (Remote available) - **Salary:** $152,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, Tensorflow, Software Deployment, Video Capture, Delivery Pipeline, Large Language Models, Deep Learning, Generative AI, Data Lakes, Data Analytics, Machine Learning Operations, Multiaccess Edge Computing - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/0d61081d-5638-4be4-97eb-51a3f3e5f605 ## 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., * 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 with modern AI/ML development, such as: + Computer Vision & Perception: Experience developing and deploying advanced vision models for detection, segmentation, and classification to interpret complex visual data. + Multimodal Systems: Ability to integrate and align vision, language, and other sensor data to create intelligent, context-aware applications. + Spatial Intelligence: Familiarity with 3D scene understanding, reconstruction, or geometry-based AI techniques. * Operational Competencies + 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: You thrive in dynamic environments. When challenges pop up, you're the first to step in, adapt, and solve them. * 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. * Clear Communicator: You excel at bridging the gap between complex technical logic and actionable team insights. * Drive: 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. ## Description 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., The primary responsibilities for our next AI / ML Engineer will be to: * 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. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [The Fundamentals of Online Video](https://www.wearedevelopers.com/videos/32-the-fundamentals-of-online-video) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)