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Director Machine Learning Jobs in Pittsburgh, PA

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 ...

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.

As a Director, you will set the strategic direction and lead business development efforts, making ... Responsibilities - Leading the design and development of AI and Machine Learning solutions to ...

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Director Machine Learning information

See Pittsburgh, PA salary details

$34.9K

$89.3K

$136.9K

How much do director machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director machine learning in Pittsburgh, PA is $89,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $102,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Pittsburgh, PA? The most popular types of Machine Learning jobs in Pittsburgh, PA are:
Infographic showing various Director Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,250 per year, or $42.9 per hour.

Director, Machine Learning (Washington)

6AM City, LLC

Washington, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

The payments industry is undergoing rapid transformation, with constant innovation and a growing demand for secure, intelligent, and scalable solutions. As a global leader, Visa is at the forefront of this evolution—aggressively investing in cutting-edge technologies to expand our capabilities and redefine what’s possible in the payments space.

If you're passionate about innovation, eager to make an impact, and thrive in a fast-paced environment, the Ecosystem & Operational Risk (EOR) Technology group within Visa’s Value-Added Services (VAS) business is the place to be.

Our Payment Fraud Disruption team plays a critical role in developing advanced risk detection and fraud prevention solutions that protect Visa and our clients globally. From concept to production, we build secure, scalable, and high-performance applications that safeguard billions of transactions.

We are currently seeking a Director, Machine Learning to lead several strategic initiatives and shape the future of fraud prevention at Visa.

Essential Functions:

  • Lead the end-to-end development and deployment of machine learning and deep learning models—including data acquisition, feature engineering, experimentation, model refresh, and production monitoring.
  • Drive the design and implementation of secure, reliable, and scalable ML systems for real-time fraud detection and risk mitigation.
  • Partner with Product Management and Engineering teams to define AI/ML strategies, translate business problems into ML solutions, and align on priorities and roadmaps.
  • Oversee model performance tracking and lead continuous improvement efforts through rigorous evaluation and iteration.
  • Guide architecture and design decisions, incorporating the latest advancements and best practices in AI/ML and software engineering.
  • Lead and manage cross-functional Agile teams, ensuring the delivery of impactful and high-quality features.
  • Champion a culture of operational excellence by implementing tools, workflows, and best practices that drive productivity and reduce development cycle times.
  • Establish and track engineering effectiveness, product quality, and delivery performance metrics—and guide the team to exceed them.
  • Stay up to date with the latest developments in AI/ML and help shape the long-term technical strategy.
  • Mentor and grow a geographically distributed team of machine learning engineers, data scientists, and software engineers.
  • Play a key role in talent acquisition, coaching, and leadership development across the team.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Visa is not offering relocation assistance for this role.


Basic Qualifications:

  • 10+ years of relevant work experience with a Bachelor’s degree, OR
  • 13+ years of relevant experience in lieu of a degree

Preferred Qualifications:

  • 12+ years of experience with a Bachelor’s degree, OR
  • 8–10 years with an Advanced Degree (e.g., MS, MBA), OR
  • 6+ years with a PhD in Computer Science, Data Science, Statistics, or a related field
  • Proven leadership in delivering real-world AI/ML products at scale, especially in high-stakes or regulated environments
  • Deep expertise in ML/DL model development, feature engineering, A/B testing, model deployment, and lifecycle management
  • Strong foundation in algorithms, data structures, and problem-solving
  • Experience building mission-critical systems that are secure, reliable, and performant
  • Demonstrated success in driving Agile delivery, improving engineering metrics, and fostering collaboration across global teams
  • Proven ability to hire, develop, and retain top technical talent
  • Exceptional communication and stakeholder management skills—able to influence across product, engineering, and executive leadership
  • Strategic mindset with passion for innovation and staying ahead of technological trends in ML/AI

Work Hours:Varies upon the needs of the department.

Travel Requirements:This position requires travel5-10% of the time.

Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 214,500.00 to 311,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Visa is not offering relocation assistance for this role.


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