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Executive Full Stack Machine Learning Engineer Jobs in Pittsburgh, PA

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Accenture

Full Stack Engineer Manager

Pittsburgh, PA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI), machine learning (ML), and data analytics that enable clients to design, build, launch and ... Experience with full-stack application development, particularly using cloud provider APIs

Accenture

Full Stack Engineer Manager

Pittsburgh, PA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI), machine learning (ML), and data analytics that enable clients to design, build, launch and ... Experience with full-stack application development, particularly using cloud provider APIs

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Scalence L.L.C.

Full Stack Engineer

Pittsburgh, PA · On-site

C. is seeking a senior Full Stack Engineer to lead the development and operational support of business-critical applications in a regulated financial environment. The role involves managing the ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Pittsburgh, PA

Executive Full Stack Machine Learning Engineer information

See Pittsburgh, PA salary details

$43.2K

$130.8K

$184.9K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for executive full stack machine learning engineer in Pittsburgh, PA is $130,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $153,400.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA? For Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities near Pittsburgh, PA with the most Executive Full Stack Machine Learning Engineer job openings:
Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,837 per year, or $62.9 per hour.

Senior Machine Learning Engineer - Mission Innovation Lab

Carnegie Mellon University

Pittsburgh, PA • On-site

$101K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

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 ≥10 years of experience ; OR M.S. with ≥8 years ; OR Ph.D. with ≥5 years 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.

Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
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

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