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Machine Learning Ai Supply Chain Jobs (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

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Machine Learning Ai Supply Chain information

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How much do machine learning ai supply chain jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for machine learning ai supply chain in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.70 per hour, depending on experience, location, and employer.

What is a Machine Learning AI Supply Chain professional?

A Machine Learning AI Supply Chain professional uses artificial intelligence and machine learning technologies to optimize and automate processes within the supply chain. Their responsibilities often include analyzing large datasets, forecasting demand, improving inventory management, and enhancing logistics efficiency. By leveraging advanced algorithms, they help companies reduce costs, minimize risks, and make more data-driven decisions throughout the supply chain. These professionals typically have expertise in both supply chain management and data science or AI. Their work is crucial for businesses aiming to stay competitive in today’s fast-paced, technology-driven market.

What is the difference between Machine Learning Ai Supply Chain vs Data Analyst?

AspectMachine Learning Ai Supply ChainData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; knowledge of ML frameworksBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech-driven supply chain teams, logistics companies, manufacturingBusiness departments, consulting firms, finance, marketing
Employer & Industry UsageSupply chain management, logistics, manufacturing industriesVarious industries including finance, marketing, healthcare

Machine Learning Ai Supply Chain specialists focus on developing AI models to optimize supply chain processes, while Data Analysts interpret data to support business decisions across industries. Both roles require strong analytical skills, but their applications and tools differ significantly.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Supply Chain professional, and why are they important?

To thrive in Machine Learning AI Supply Chain roles, you need a solid background in data science, supply chain management, and programming, often supported by a degree in computer science, engineering, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and ERP systems is typically required, along with experience in supply chain optimization algorithms. Strong problem-solving, analytical thinking, and collaboration skills help professionals stand out by enabling them to translate complex data into actionable supply chain strategies. These skills and qualities are vital for leveraging AI to drive efficiency, reduce costs, and enhance decision-making within supply chain operations.

How does a Machine Learning AI professional in supply chain typically collaborate with other departments to implement predictive analytics solutions?

Machine Learning AI professionals working in supply chain often collaborate closely with operations, IT, procurement, and logistics teams to implement predictive analytics solutions. They translate business needs into technical requirements, work with data engineers to ensure data quality and availability, and partner with operations managers to align models with real-world processes. Frequent cross-functional meetings and iterative feedback loops are common, as these professionals must ensure their models are actionable and integrate smoothly with existing workflows. This collaborative environment fosters continuous improvement and helps maximize the impact of AI-driven insights on supply chain efficiency.
Director of Machine Learning

Director of Machine Learning

Gather AI

Pittsburgh, PA • On-site, Remote

Full-time

Posted 7 days ago

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)

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