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Remote Machine Learning Compiler Engineer Jobs in Maryland

Data Scientist

Baltimore, MD ยท On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

2027 Summer Intern Associate

Bethesda, MD ยท On-site +1

$16 - $21.50/hr

Python, R, statistics, machine learning coursework * Data Engineering: SQL, databases, cloud platforms, or scripting experience * Finance: Accounting, finance, or economics coursework * Contracts ...

Data Scientist

Windsor Mill, MD ยท On-site +1

$102K - $144K/yr

This role emphasizes end-to-end development of machine learning and AI systems, including ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

Data Scientist

Edgewood, MD ยท On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Test and validate AI-enabled applications, machine learning integrations, and large language model ... Collaborate with developers, full-stack engineers, product owners, and stakeholders to understand ...

Azure Cloud & Operations Engineer (Must be US Citizen or Green Card) Join a team building and ... Experience with Azure AI Foundry and Azure Machine Learning. * Knowledge of Azure data governance ...

$77K - $110K/yr

Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML ... experts; engineers; technologists; scientists; logistics experts; and business administration ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

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 the most commonly searched types of Machine Learning Compiler Engineer jobs in Maryland?

The most popular types of Machine Learning Compiler Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities in Maryland with the most Remote Machine Learning Compiler Engineer job openings:

Infographic showing various Remote Machine Learning Compiler Engineer job openings in Maryland as of June 2026, with employment types broken down into 54% Full Time, 28% Part Time, 6% Temporary, 6% Contract, and 6% Nights. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Senior Data Scientist

Elder Research

Fort George G Meade, MD โ€ข On-site, Remote

$150K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Senior Data Scientist


General Information

Requisition #729

Locations USA-MD-Ft. Meade

Posting Date 07/24/2026

Security Clearance Required - TS/SCI + Poly

Remote Type N/A

Time Type Full time


Description & Overview:

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges.

These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer.


Essential Functions:

As a Senior Data Scientist, you will:

  • Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.

  • Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.

  • Design and execute experiments or create models to generate data when training datasets are unavailable.

  • Generate reports and visualizations that provide actionable insights and summarize data findings for clients.

  • Translate complex data analysis into clear, actionable recommendations.

  • Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.

  • Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.

  • Apply expert knowledge in data science to deliver solutions that address clients' business needs.

  • Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.

  • Lead a team of data scientists in the development of multiple analytic efforts.

  • This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.


Requirements:

  • A current TS/SCI with Polygraph is required for this role.

  • BA/BS in Math, Statistics, Engineering, Computer Science, or related field

  • Proficiency with Python and R.

  • Experience using large data sets to solve problems.

  • Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling.

  • AWS or Cloud experience.

  • Ability to communicate complex models and concepts effectively in non-technical language.


Desired Qualifications:

  • Bachelors Degree with 12+ years of relevant experience.

  • Masters Degree with 10+ years of relevant experience.

  • PhD. with 6+ years of relevant experience.

  • Familiarity with commercial and open-source data science software.

  • Familiarity with relational databases: Oracle, SQL, and ETL tools.


Salary and Benefit Information:

The likely salary range for this position is $150,000-$220,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.

Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - for example, each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.