Head of ML & Computer Vision — Scale Production Models

Gather

Pittsburgh (Allegheny County)

Hybrid

USD 180,000 - 240,000

Full time

23 hours ago
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Job summary

Gather AI in Pittsburgh is seeking a Director of Machine Learning to define our ML strategy, lead the computer vision organization, and drive the next phase of ML maturity for our warehouse intelligence platform. You will evaluate existing capabilities, map gaps, and establish a clear technical vision for the next 12–18 months.

The ideal candidate has 10+ years in production ML or CV, 5+ years of ML leadership, deep CV expertise (detection, segmentation, OCR), and strong Python + PyTorch or

Qualifications

  • 10+ years building and scaling production ML or computer vision systems.
  • 5+ years managing and growing ML engineering teams.
  • Deep expertise in computer vision: object detection, image segmentation, OCR, CNN architectures.

Responsibilities

  • Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives.
  • Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery.
  • Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products.
  • Build out MLOps infrastructure — model training pipelines, deployment, monitoring, and CI/CD for ML workloads.
  • Collaborate with senior leaders to ensure ML systems integrate into the broader platform.
  • Translate customer needs into ML-driven product capabilities.

Skills

Computer vision
Object detection
Image segmentation
OCR
CNN architectures
Python
PyTorch
TensorFlow

Education

MS or PhD in CS/ML

Tools

Python
PyTorch
TensorFlow

Job description

Gather AI in Pittsburgh is seeking a Director of Machine Learning to define our ML strategy, lead the computer vision organization, and drive the next phase of ML maturity for our warehouse intelligence platform. You will evaluate existing capabilities, map gaps, and establish a clear technical vision for the next 12–18 months.

The ideal candidate has 10+ years in production ML or CV, 5+ years of ML leadership, deep CV expertise (detection, segmentation, OCR), and strong Python + PyTorch or

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