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Learning Director Jobs in Pennsylvania (NOW HIRING)

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 ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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 ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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 ...

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 ...

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.

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Learning Director information

See Pennsylvania salary details

$36.1K

$92.2K

$141.3K

How much do learning director jobs pay per year?

As of Sep 6, 2026, the average yearly pay for learning director in Pennsylvania is $92,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $106,300.00 per year, depending on experience, location, and employer.

What is a learning director?

Learning Directors are professionals responsible for designing, implementing, and overseeing educational programs within organizations or institutions. They collaborate with stakeholders to identify learning needs, develop curriculum, and ensure instructional effectiveness. Learning Directors also assess program outcomes, manage budgets, and often supervise teams of educators or trainers. Their goal is to enhance employee skills, promote professional development, and align learning initiatives with organizational objectives.

What skills and qualifications are needed to thrive as a learning director?

To thrive as a Learning Director, you need expertise in instructional design, curriculum development, and adult learning principles, typically supported by an advanced degree in education or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and relevant certifications like CPLP or ATD are commonly required. Strong leadership, strategic thinking, and excellent communication skills help drive organizational learning initiatives and foster team collaboration. These competencies ensure effective development and delivery of learning programs that align with organizational goals and promote employee growth.

How does a learning director collaborate with other departments to align training initiatives with organizational goals?

A Learning Director often works closely with department heads, HR, and executive leadership to assess skill gaps and ensure training programs support broader business objectives. This collaboration involves regular meetings, needs assessments, and integrating feedback from various teams to tailor learning solutions. By fostering cross-departmental communication, the Learning Director helps ensure that educational initiatives are relevant, impactful, and drive measurable results for the organization.

What is the difference between Learning Director vs Learning Manager?

AspectLearning DirectorLearning Manager
CredentialsTypically requires a bachelor’s or master’s degree in education, HR, or related field; certifications like CPLP or ATD are commonSimilar educational background; often holds certifications like CPLP or ATD
Work EnvironmentStrategic leadership in organizations, overseeing multiple training programs and teamsOperational management of training programs, working directly with trainers and learners
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for high-level training strategyCommon in corporate and educational settings for day-to-day training operations

The main difference between a Learning Director and a Learning Manager lies in scope and strategic focus. Learning Directors typically oversee overall training strategies and manage teams at a higher level, while Learning Managers focus on executing training programs and managing daily operations. Both roles require relevant certifications and experience, but the Learning Director's role is more strategic and leadership-oriented.

What are the most commonly searched types of Learning jobs in Pennsylvania?

The most popular types of Learning jobs in Pennsylvania are:

What are popular job titles related to Learning Director jobs in Pennsylvania?

For Learning Director jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Learning Director jobs in Pennsylvania look for?

The top searched job categories for Learning Director jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Learning Director jobs?

Cities in Pennsylvania with the most Learning Director job openings:

Learning Director jobs near you
Infographic showing various Learning Director job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $92,153 per year, or $44.3 per hour.

Director of Machine Learning

Gather AI

Pittsburgh, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
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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