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Remote Machine Learning Compiler Engineer Jobs in Pittsburgh, PA

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Senior Embedded Software Engineer

Pittsburgh, PA · On-site +1

$149K - $198K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

DataAnnotation

SDLC Engineer - AI Trainer

Pittsburgh, PA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Remote Machine Learning Compiler Engineer information

See Pittsburgh, PA salary details

$72.8K

$162.6K

$199K

How much do remote machine learning compiler engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning compiler engineer in Pittsburgh, PA is $162,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,800.00 and $199,000.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
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Remote Machine Learning Compiler Engineer jobs near you
Assistant AI Security Software Engineer

Assistant AI Security Software Engineer

Cmu

Pittsburgh, PA • On-site, Remote

Full-time

Retirement

Posted 19 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 obtainandmaintainaDepartment 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

SalaryMore 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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About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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