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Dice
Posted 34 days agoVerified live 10h ago

AI/ML Engineer

Brief overview

Remote
MastersOr in progress
$152k–$220k/yrStated range
Machine LearningComputer VisionDeep LearningVision-Language Models (VLMs)Large Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Multimodal AI3D Scene UnderstandingModel OptimizationModel Deployment Pipelines

About the company

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Job description

Summary

Fieldwire is a construction technology company revolutionizing jobsite documentation through 360 video capture, computer vision, and AI-driven insights. The AI/ML Engineer will architect and deploy machine learning models and high-performance pipelines that transform raw site captures into actionable intelligence, while collaborating on cloud deployment, prototyping, production monitoring, and continuous model improvement.

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 your assigned components, from conception through to production deployment and monitoring

Skills

  • * 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
  • + 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
  • + 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
  • * Ideally an MSc or Ph.D. in a related technical discipline
  • * 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

Qualifications

Must Haves

  • * 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
  • + 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
  • + 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

Nice to Haves

  • * Ideally an MSc or Ph.D. in a related technical discipline
  • * 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

Benefits

  • Eligible for a corporate bonus of up to 30%.
  • This role is fully remote within the United States.

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