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Director Of Machine Learning Jobs (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

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 ...

TripAdvisor LLC

NY · On-site

Senior Director of Machine Learning (Experiences) London, Oxford, Poland, Krakow About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most ...

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 senior‑most ML role in the company -- partnering directly with the CTO as a peer technical leader ...

Hightouch

Head of Machine Learning

$230K - $400K/yr

About the Role We are looking for an engineering leader to lead machine learning efforts across Hightouch. While hundreds of companies use Hightouch today to sync data into their SaaS systems to ...

Unclassified

$200K/yr

The Director of Machine Maintenance is responsible for overseeing all maintenance operations within the manufacturing plant to ensure optimal performance, reliability, and safety of machinery and ...

New

Itransition Group

NY · On-site

You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling. office remote Poland Requirements ...

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Director Of Machine Learning information

What does a director of machine learning do?

A Director of Machine Learning leads and oversees machine learning teams and projects within an organization. They are responsible for setting the strategic direction for AI and ML initiatives, managing research and development, and ensuring successful deployment of machine learning solutions. Their role often includes collaborating with other departments, mentoring staff, and staying updated with the latest advancements in the field. Ultimately, they ensure that machine learning technologies are effectively leveraged to meet business goals.

What are the typical challenges a director of machine learning faces when leading cross-functional teams?

As a Director of Machine Learning, one common challenge is aligning the goals and expectations of data scientists, engineers, and business stakeholders. Balancing innovative research with practical deployment requires strong communication and prioritization skills. Additionally, ensuring that machine learning solutions are scalable, ethical, and meet organizational needs often involves navigating resource constraints and evolving technologies. Effective directors foster collaboration, provide technical guidance, and help teams stay focused on deliverable outcomes.

What are the key skills and qualifications needed to thrive as a director of machine learning, and why are they important?

To thrive as a Director Of Machine Learning, you need advanced expertise in machine learning algorithms, statistical analysis, and a strong background in computer science or a related field, typically supported by a master's or PhD degree. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud platforms, along with project management experience, is essential. Leadership, strategic vision, and excellent communication skills are crucial soft skills for guiding teams and aligning ML initiatives with business goals. These skills ensure that complex ML projects are successfully designed, implemented, and deliver tangible value to the organization.

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Director Of Machine Learning jobs near you

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

Job description

Job Summary:
Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes autonomous drones for real-time data capture. They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.
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 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
Qualifications:
Required:
• 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)
Preferred:
• 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)
Company:
We deliver the foundational intelligence layer for the intralogistics industry. Founded in 2017, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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