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Senior Machine Learning Software Engineer Jobs in Pittsburgh, PA

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

They are seeking a passionate Senior Software Engineer to join their Virtuoso place and route ... and machine learning. Responsibilities : • Ability to work in a fast-paced research and ...

Showing results 21-40

Senior Machine Learning Software Engineer information

See Pittsburgh, PA salary details

$73.3K

$139.1K

$186.4K

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

As of Aug 7, 2026, the average yearly pay for senior machine learning software engineer in Pittsburgh, PA is $139,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $156,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Pittsburgh, PA? The most popular types of Machine Learning Software Engineer jobs in Pittsburgh, PA are:
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Pittsburgh, PA? For Senior Machine Learning Software Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Pittsburgh, PA are:
Infographic showing various Senior Machine Learning Software Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,110 per year, or $66.9 per hour.

Senior AI Security Software Engineer with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

$111K - $152K/yr

Other

Retirement

Re-posted 19 days ago


Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior 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 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. 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
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