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Remote Machine Learning Compiler Engineer Jobs in Pittsburgh, PA

CEI

AI Solutions Architect

Pittsburgh, PA · Remote

$61.25 - $80.50/hr

Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred) Compensation ... applications, and machine learning pipelines, aligned to client business objectives. * Lead ...

Varsity Tutors

Data Science Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Innovu, LLC

Analytics Engineer

Pittsburgh, PA · Remote

Clear written communication; you'll document metrics for both engineers and business stakeholders ... machine learning, deep learning, or model building, this is not it. We have ML work on the team ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Varsity Tutors

Python Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

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Showing results 41-60

All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Pittsburgh, PA

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 Aug 24, 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.

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.

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 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.

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 popular job titles related to Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA?

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

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Pittsburgh, PA with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Pittsburgh, PA as of June 2026, with employment types broken down into 49% Full Time, 30% Part Time, 6% Temporary, 9% Contract, and 6% Nights. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $162,551 per year, or $78.1 per hour.

Junior AI Developer - Remote / Telecommute

CYNET SYSTEMS

Pittsburgh, PA • Remote

$33 - $55/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

Job Overview:

Pay Range $33.48hr - $55.81hr

Requirement/Must Have:

  • Bachelor's degree in Data Science, Computer Science, Software Engineering, or a related field.
  • 1+ years of experience with Python.
  • 1+ years of experience with JavaScript or TypeScript.
  • Understanding of SQL and relational database concepts.
  • Understanding of REST APIs.
  • Familiarity with object-oriented programming and basic software design principles.
  • Exposure to machine learning concepts.
  • Strong desire to learn enterprise AI platforms, cloud environments, and modern development practices.
  • Collaborative and communicative.

Responsibilities:

  • Learn and contribute to development on the C3.AI platform, including working with the C3 Type System, data modeling, and building application components.
  • Participate in the development, testing, and deployment of AI and ML models across C3.AI and other platforms used by the team.
  • Write Python and JavaScript/TypeScript code to support data pipelines, application logic, REST APIs, and AI service integrations.
  • Assist in building and maintaining data pipelines that ingest, transform, and deliver data from enterprise and industrial sources.
  • Support the development of AI-powered features and tools that surface insights to business users and operational teams.
  • Collaborate with senior engineers, data scientists, and business stakeholders to understand requirements and translate them into working solutions.
  • Contribute to cloud-based development work across platforms such as AWS, Azure, or GCP as project needs require.
  • Participate in code reviews, testing, and documentation to uphold quality standards and support team knowledge sharing.
  • Continuously build your skills through hands-on project work, mentorship, and engagement with both C3.AI and broader AI/ML tooling.

Nice to Have:

  • Hands-on exposure to C3.AI or similar enterprise AI/ML platforms.
  • Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Experience with or academic knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Exposure to data engineering concepts.
  • Experience with version control using Git and basic familiarity with CI/CD concepts.
  • Familiarity with Databricks, Spark, or similar big data processing tools.
  • Coursework or project work involving time-series data, IoT data, or industrial datasets.
  • Interest in manufacturing, industrial operations, or IoT domains.
  • Prior internship, co-op, or project experience in a software development or data-focused role.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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