1

Director Machine Learning Jobs in Pennsylvania (NOW HIRING)

As the Sr. Director/Vice President, Artificial Intelligence, you will lead the strategic ... Your experience in AI, machine learning, data strategy, communication, stakeholder alignment, and ...

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 ...

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 ...

Ph.D. in Computer Science, Machine Learning, Natural Language Processing, Statistics, or a related quantitative field; or Master's degree with 2-3 years of experience in machine learning evaluation ...

Showing results 21-40

Director Machine Learning information

See Pennsylvania salary details

$36.1K

$92.2K

$141.3K

How much do director machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for director machine learning 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 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 Pennsylvania? The most popular types of Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Director Machine Learning jobs? Cities in Pennsylvania with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,153 per year, or $44.3 per hour.

Senior Machine Learning Engineer - Mission Innovation Lab with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

$111K - $152K/yr

Other

Re-posted 21 days ago


Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we * build real-world, mission-scale AI capabilities through solving practical engineering problems * discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities * prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities * identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview As a Machine Learning Engineer who can take research ideas from concept to prototype , you will lead independent applied-research projects for defense-focused missions. The ideal candidate is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission-scale capabilities. The Mission Innovation Lab within the SEI's AI Division works with the defense and national security community to translate the " recently possible" in AI into reliable mission and warfighting capabilities. Key Responsibilities * Design, implement, and evaluate state-of-the-art ML models (computer-vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch , Torch, or Caffe . * Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java . * Lead rapid-prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security . * Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning) . * Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab. Required Qualifications * B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10years of experience; OR M.S. with ≥8 years; OR Ph.D. with ≥5years of relevant experience. * Ability to obtain and maintain an active Department of War security clearance.
* You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA. * Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs. * Solid understanding of ML theory, statistical learning, and common algorithms. * Hands-on experience with TensorFlow, PyTorch , Torch, Caffe, or similar deep-learning libraries. * Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling. Desired Experience * Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities. * Publications or open-source contributions in AI and ML , especially in adversarial or robust ML. * Experience working on defense or other high-impact government programs . * Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions. Knowledge, Skills, & Abilities * Deep technical knowledge of modern ML methods and ability to extend them to novel domains. * Excellent written and verbal communication skills ; capable of presenting complex ideas to technical and non-technical audiences. * Strong collaborative mindset; experience working in interdisciplinary teams and mentoring peers. * High degree of scientific curiosity and a proactive, self-directed work style. Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
Salary
More Information: * Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.
* Click here to view a listing of employee benefits
* Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
* Statement of Assurance