Ironsite Ai

Ironsite Ai

Applied ML Researcher

San Francisco, USA · Internship

Sponsorship not specifiedDetected 246 days ago
PythonMachine LearningDeep LearningTensorFlowPyTorchData AnalysisData ScienceNLPComputer VisionRoboticsResearch

About the role

  • You will tackle high-risk, high-impact research, leveraging our unparalleled proprietary dataset to train, benchmark, and deploy state-of-the-art VLMs that can interpret the complexity of a real-world construction site.
  • Prior experience, internship, or personal project with hands-on experience designing and training deep learning models, particularly transformer-based architectures.
  • Familiarity with one deep learning framework (e.g., PyTorch, TensorFlow, JAX).

Responsibilities

  • Take a leading role in executing our research goals, including establishing baselines with state-of-the-art models and developing novel fine-tuning methodologies, long context architectures, and visual reasoning techniques.
  • Develop and own the model training and evaluation pipelines, ensuring we can rapidly experiment, measure performance, and deploy models into production.
  • Design and implement a hierarchical set of models for efficient, on-device inference on our wearable hardware as well as server-side inference.
  • This includes developing lightweight, coarse classifiers for real-time analysis (e.g., safety event detection, info density classification), as well as heavy-weight server-side VLMs to deeply understand complex tasks.
  • Build Scalable Pipelines: Develop and own the model training and evaluation pipelines, ensuring we can rapidly experiment, measure performance, and deploy models into production.
  • Optimize for the Edge: Design and implement a hierarchical set of models for efficient, on-device inference on our wearable hardware as well as server-side inference.
  • We help teams reduce labor costs, improve safety, and deliver projects faster.
  • To date, we've captured 50,000+ hours of construction footage across 7 states and have recently partnered with the nation's #2 hard-hat manufacturer, Studson, to develop custom hardware purpose-built for the field.
  • Now, we're building the team to scale nationwide.
  • The Role As an Applied ML Researcher on our team, you will report directly to the Chief Science Officer and be at the heart of our mission to build foundational spatial intelligence.

Requirements

  • Strong proficiency in Python and a solid foundation in software engineering principles.

Nice to have

  • Proficiency in Python Preferred Qualifications At least one publication in an AI/ML/CV conference.

Compensation

  • About Ironsite Construction is one of the most complex and labor-intensive industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.

Benefits

  • We put cameras on construction workers' hard hats and vests, then use advanced computer vision to analyze what's actually happening on job sites.
  • Design, train, and iterate on general-purpose Vision-Language Models fine-tuned for "Construction Intelligence" using our massive, proprietary dataset of first-person video.
  • Ironsite leverages wearable cameras combined with human labeling and AI vision language models to drive on-site productivity, safety & training for crafts workers.

Company info

  • As an Applied ML Researcher on our team, you will report directly to the Chief Science Officer and be at the heart of our mission to build foundational spatial intelligence.
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This listing is sourced directly from Ironsite Ai's careers page and normalized into a canonical job model.