Director of Machine Learning

Gather AI; Pittsburgh (Allegheny County); Hybrid; USD 150,000 - 200,000; Full time

Job summary

A technology company is looking for a Director of Machine Learning to define ML strategy and lead their computer vision organization. The ideal candidate should have over 10 years of experience in production ML systems, 5 years in management roles, and deep expertise in computer vision including object detection and segmentation. This role involves enhancing ML systems, collaborating cross-departmentally, and influencing product direction while leading a rigorous, production-quality ML team.

Qualifications

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

Responsibilities

• Define and own the ML strategy and technical roadmap.
• Lead and grow the Machine Learning and FPT teams.
• Drive improvements to core computer vision models.

Skills

Deep expertise in computer vision

Strong Python proficiency

Proficiency in PyTorch or TensorFlow

Education

MS or PhD in Computer Science, Machine Learning, or related field

Tools

AWS ML services

GCP ML services

Job description

About the Team

You’ll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross‑departmentally, you’ll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high‑visibility role with a direct line to executive leadership and significant influence over product direction.

About the Role

We are looking for a Director of Machine Learning to define our ML strategy, lead our computer vision organization, and drive the next phase of ML maturity at Gather AI. You will assess existing ML and CV capabilities, identify gaps and opportunities, and establish a clear technical vision for how machine learning will power our warehouse intelligence platform over the next 12–18 months.

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world‑class ML team.

What You’ll Do

• 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 the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
• Partner with Product and Operations to translate customer needs into ML‑driven product capabilities

What You’ll Need

• 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, and CNN architectures
• Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale
• MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)

Nice to Have

• Experience with drone, robotics, or autonomous systems perception
• Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
• Familiarity with warehouse, logistics, or supply chain domain
• Experience with AWS or GCP ML services (SageMaker, Vertex AI)

As set forth in Gather AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.