Director of Machine Learning
Listed on 2026-09-01
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
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 RoleWe 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
- 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 Tensor Flow) 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)
- 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 (Sage Maker, Vertex AI)
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