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Machine Learning Software Engineer Jobs in Pennsylvania

Cmu

AI Security Software Engineer

Pittsburgh, PA · On-site +1

Develop machine learning-based prototypes, tools, and systems for AI security applications ... Apply software engineering best practices to build scalable, maintainable systems, grounded design ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate ...

Wipro Limited

Sr. Engineer - Machine Learning

Dallas, PA · On-site

$45K - $121K/yr

Write and maintain code for model training and deployment, collaborating with software engineers to ... large-scale machine learning applications in hosted production environments * 2+ years of ...

New

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... and machine learning. Responsibilities : • Ability to work in a fast-paced research and ... software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988 ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Pennsylvania

Machine Learning Software Engineer information

See Pennsylvania salary details

$63.7K

$147.9K

$206K

How much do machine learning software engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning software engineer in Pennsylvania is $147,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $173,400.00 per year, depending on experience, location, and employer.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but generally rank above average compared to other software engineering roles.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

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

The most popular types of Machine Learning Software Engineer jobs in Pennsylvania are:

What are popular job titles related to Machine Learning Software Engineer jobs in Pennsylvania?

For Machine Learning Software Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Machine Learning Software Engineer jobs in Pennsylvania look for?

The top searched job categories for Machine Learning Software Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Machine Learning Software Engineer jobs?

Cities in Pennsylvania with the most Machine Learning Software Engineer job openings:

What are popular job titles related to Machine Learning Software Engineer jobs in PA?

For Machine Learning Software Engineer jobs in PA, the most frequently searched job titles are:

Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer 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 $147,878 per year, or $71.1 per hour.

Senior AI Security Software Engineer

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

$111K - $152K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
The Software Engineering Institute at Carnegie Mellon University is seeking a Senior AI Security Software Engineer to advance AI security and resilience in critical infrastructure. The role involves developing machine learning-based prototypes and collaborating with researchers to address AI security challenges, leveraging diverse cybersecurity datasets.
Responsibilities:
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Qualifications:
Required:
• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures
• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%)
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Preferred:
• Experience applying statistical modeling and advanced data analytics techniques
• Background in developing AI/ML solutions in real-world settings
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Experience and knowledge in cybersecurity best practices
• Demonstrated ability to quickly learn and adapt to new technologies and domains
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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