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Remote Machine Learning Compiler Engineer Jobs in Virginia

Steampunk

Machine Learning Engineer

Mclean, VA · On-site +1

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

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Remote Machine Learning Compiler Engineer information

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.

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 most commonly searched types of Machine Learning Compiler Engineer jobs in Virginia? The most popular types of Machine Learning Compiler Engineer jobs in Virginia are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Virginia? For Remote Machine Learning Compiler Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Virginia look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Virginia 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 Virginia as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution.

Machine Learning Engineer

Steampunk

Mclean, VA • On-site, Remote

$115K - $150K/yr

Other

Posted 22 days ago

Job description

Overview
We are looking for seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs.
  • Analyze and process large datasets to extract meaningful insights and patterns.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
  • Optimize and fine-tune machine learning models for performance, scalability, and accuracy.
  • Implement and maintain data pipelines to support machine learning workflows.
  • Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques.
  • Document processes, experiments, and results to ensure reproducibility and knowledge sharing.
  • Deploy machine learning models to production environments and monitor their performance.
  • Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the US government.
  • Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline
  • 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.
  • 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Strong programming skills in languages such as Python, R, or Java.
  • Solid understanding of statistical methods, data structures, and algorithms.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with big data technologies like Hadoop, Spark, or similar.
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively in a team environment.
  • Ability to manage multiple tasks and projects simultaneously while meeting deadlines.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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