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Machine Learning Software Engineer Jobs in Pennsylvania

Machine Learning Engineer Remote (US, Canada & Europe) We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the ...

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ...

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline. * Strong experience building and deploying machine learning solutions in ...

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline. * Strong experience building and deploying machine learning solutions in ...

Showing results 21-40

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 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:

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.

Assistant AI Security Software Engineer with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

Other

Retirement

Re-posted 20 days ago


Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Assistant AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission. Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more. Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come. Key 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 Minimum Qualifications * BS in computer science, machine learning, cybersecurity, statistics, or related discipline.
* 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. Preferred Qualifications * 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
Why Join Us * Contribute to a world-class organization with significant impact on software and national security
* Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
* 8% employer retirement contribution (no employee contribution required)
* Tuition benefits for employees and their dependent children
* Flexible work arrangements and strong work-life balance
* Paid parental and military leave
* Professional development opportunities, including conference attendance and certifications
* Qualify for relocation assistance and so much more. Location
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