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Remote Machine Learning Compiler Engineer Jobs in Maryland

AI Learning Specialist

Windsor Mill, MD ยท Remote

$150K - $170K/yr

Proficiency in machine learning, AI technologies, and programming languages like Python or R ... Remote within the United States (monthly travel to Baltimore, MD may be required) Clearance: Must ...

Job Requisition ID # 26WD97132 26WD97132, Pr incipal Machine Learning Engineer, ML Platform and ... US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ...

Senior Staff Machine Learning Engineer

Bethesda, MD ยท Remote

$111K - $153K/yr

Great Company, Great Culture, Great Rewards and Great Careers GEICO is seeking a Senior Staff Machine Learning Engineer to help shape how Generative AI enhances customer and associate experiences ...

AI Engineer (Hybrid)

Annapolis, MD ยท On-site +1

$130K - $270K/yr

Our team of engineers take pride in what they develop and constantly innovate to provide the best ... Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance ...

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Remote Machine Learning Compiler Engineer information

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.
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:
AI Learning Specialist

AI Learning Specialist

Metric5

Windsor Mill, MD โ€ข Remote

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

AI Learning Specialist

Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them approachable for all learners, including beginners and non-technical audiences? At Metric5, we are dedicated to empowering individuals with varying levels of expertise to harness the power of machine learning and AI. We are looking for an AI Learning Specialist who combines deep technical knowledge with a talent for crafting and delivering accessible learning experiences for all. Join us in a vibrant and collaborative environment where you will advance learnersโ€™ understanding and application of machine learning and artificial intelligence to the mission objectives of our federal clients.

What You Will Do

  • Develop and implement training programs that cater to a wide range of skill levels, focusing on the foundational aspects of machine learning and AI for beginners, as well as advanced topics for more experienced learners.

  • Conduct engaging and inclusive training sessions, workshops, and webinars, ensuring content is accessible and resonates with a diverse, non-technical audience.

  • Create a variety of learning materials, including presentations, case studies, hands-on coding labs, interactive exercises, and assignments tailored to individual learning needs.

  • Provide personalized feedback and support, focusing on individual participant development and learning outcomes.

  • Continually update and refine curriculum materials to ensure relevance and cater to the evolving needs of diverse learners.

  • Collaborate with other trainers and development teams to create an enriching, integrated learning experience.

  • Adapt teaching methods to accommodate different learning styles and backgrounds, emphasizing clarity and inclusiveness.

Basic Qualifications

  • Exceptional communication skills with a talent for engaging diverse, non-technical audiences.

  • Experience in instructional design, particularly for beginners and non-technical learners in machine learning and AI.

  • Strong empathy and patience to understand and address individual learning needs.

  • Experience with digital learning platforms and blended learning approaches.

  • Proficiency in machine learning, AI technologies, and programming languages like Python or R

Education: Bachelorโ€™s or Masterโ€™s degree in machine learning, Artificial Intelligence, Computer Science, or a related field.

Salary Range: $150,000 โ€“ $170,000 annually

Location: Remote within the United States (monthly travel to Baltimore, MD may be required)

Clearance: Must be able to obtain and maintain a federal Public Trust/Suitability, which includes a requirement of U.S. residency for three out of the last five years

Join Us

As a machine learning and AI Learning Specialist at Metric5, you will have the unique opportunity to make machine learning and AI accessible and engaging for a broad spectrum of learners working in technology-related roles in the government sector. Your role will be crucial to improving our clientsโ€™ organizational capacity to understand and utilize machine learning and Machine Learning technology solutions that help achieve their agency missions. If you are committed to making a difference in the educational landscape of machine learning and AI, we would love to have you on our team.

About Metric5
Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals.
Our benefits include:

  • Health & Dental Insurance with 100% of individual coverage paid for by the company
  • Vision Insurance
  • Life & Short Term Disability Insurance
  • 401K with company match (employees are immediately vested)
  • Paid Vacation
  • 9 Paid Holidays per year (plus 2 paid floating holidays)
  • Parental Leave
  • Employee Bonuses
  • Professional Development Reimbursement Program
  • Tuition Assistance Program

Metric5 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, disability, or status as a protected veteran.