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Director Of Machine Learning Science Jobs (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

About the Role We are looking for a Director of Machine Learning to define our ML strategy, lead ... MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

As a fintech company where data and machine learning (ML) is integral to both our business strategy ... Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work ...

3M HEALTHCARE

WI · On-site

We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the ... Experience as a founding ML hire, ML lead, or applied science leader at a high‑growth AI/ML ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

This position will report to the Director of Business Intelligence and is structured within IT ... Work with data scientists, data engineers, and business analysts to translate business requirements ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

... science team focusing on predictive modeling, natural language processing, computer vision ... You will be responsible for the end-to-end development and deployment of machine learning models ...

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As of Sep 10, 2026, the average yearly pay for director of machine learning science in the United States is $111,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $125,000.00 per year, depending on experience, location, and employer.

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Director of Machine Learning

Pittsburgh, PA • On-site

Gather AI
Industrial Automation Equipment Manufacturing • 11 - 50 employees
Learn more about Gather AIexternal

Full-time

Re-posted 10 days ago

Key responsibilities

  • Define and own the ML strategy and technical roadmap for Gather AI.

  • 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 used across products.

Job description

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

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)