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Junior Machine Learning Compiler Engineer Jobs in Wallops Island, VA

S. government to transform data into intelligence and provides engineering, integration and ... Minimum five years' experience working with maintenance and alteration of equipment, machinery ...

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Junior Machine Learning Compiler Engineer information

See Wallops Island, VA salary details

$33.4K

$71.6K

$109.2K

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

As of Sep 5, 2026, the average yearly pay for junior machine learning compiler engineer in Wallops Island, VA is $71,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $79,800.00 per year, depending on experience, location, and employer.

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What are the key skills and qualifications needed to thrive as a junior machine learning compiler engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

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

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Wallops Island, VA?

For Junior Machine Learning Compiler Engineer jobs in Wallops Island, VA, the most frequently searched job titles are:

What cities near Wallops Island, VA are hiring for Junior Machine Learning Compiler Engineer jobs?

Cities near Wallops Island, VA with the most Junior Machine Learning Compiler Engineer job openings:

Infographic showing various Junior Machine Learning Compiler Engineer job openings in Wallops Island, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,619 per year, or $34.4 per hour.

Meteorological Operations Junior Technician

ARES Corporation

Wallops Island, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Key responsibilities

  • Operate and maintain meteorological instrumentation systems supporting range and launch operations.

  • Support operation and maintenance of GPS sounding systems, aerostat sounding systems, wind tower systems, meteorological surface measurement systems, and laser ceilometers.

  • Perform troubleshooting, fault isolation, and corrective maintenance activities on meteorological equipment and associated support systems.


Job description

About ARES Corporation

ARES Corporation is an employee-owned aerospace and engineering services company supporting critical national programs across NASA, the Department of Defense, and other Federal agencies. For more than 30 years, ARES has provided engineering, mission operations, safety and mission assurance, information technology, and range support services for some of the nation's most complex aerospace missions. ARES is the prime contractor for the Wallops Range Contract supporting NASA Wallops Flight Facility. The contract provides mission-critical support for launch range operations, telemetry, radar, communications, meteorological services, engineering, maintenance, and sustainment activities supporting orbital and suborbital missions.

Position Overview:

ARES is seeking a Meteorological Operations Junior Technician to support the operation, maintenance, and deployment of meteorological instrumentation systems used in support of NASA launch operations, flight safety, weather monitoring, and mission planning activities. The successful candidate will support a variety of weather observation and atmospheric measurement systems while assisting senior technicians in ensuring reliable meteorological data collection and system performance in support of range operations and mission execution.

Key Responsibilities:

  • Operate and maintain meteorological instrumentation systems supporting range and launch operations.
  • Support operation and maintenance of GPS sounding systems, aerostat sounding systems, wind tower systems, meteorological surface measurement systems, and laser ceilometers.
  • Perform troubleshooting, fault isolation, and corrective maintenance activities on meteorological equipment and associated support systems.
  • Assist with installation, calibration, testing, and deployment of weather instrumentation.
  • Interpret schematics, wiring diagrams, and technical documentation.
  • Utilize electronic test equipment including oscilloscopes, digital voltmeters, power meters, and signal generators.
  • Maintain operational logs, maintenance records, and preventative maintenance schedules.
  • Support meteorological data collection activities and system readiness efforts.
  • Ensure compliance with NASA, customer, and company operational, safety, and quality procedures.
  • Support field operations involving tower inspections, tower climbing, and equipment maintenance activities.
  • Travel to remote locations in support of meteorological and range operations as required.

Required Qualifications:

  • High Schooldiploma
  • Ability to troubleshoot electronic and instrumentation systems.
  • Ability to interpret schematics, wiring diagrams, and technical drawings.
  • Familiarity with electronic test equipment and instrumentation.
  • Strong communication, teamwork, and problem-solving skills.
  • Ability to travel approximately 25% of the year in support of mission requirements.
  • Ability to obtain National Weather Service certification within six months of hire.

Desired Qualifications:

  • Two years of technical education in electronics, instrumentation, meteorology, or a related technical discipline.
  • Experience with meteorological instrumentation or meteorological ground station equipment may be substituted for technical education.
  • Experience with GPS ground station systems.
  • Experience with meteorological instrumentation and atmospheric measurement systems.
  • Experience supporting launch range, aerospace, communications, or technical field operations.
  • Tower climbing and tower maintenance experience.
  • Familiarity with preventive maintenance programs and technical documentation practices.
  • Experience working in a mission-critical operational environment.

Work Environment

This position is located at NASA Wallops Flight Facility in Wallops Island, Virginia. Work is primarily performed in operational and field environments supporting meteorological systems and range infrastructure. Shift work may be required based on mission schedules and operational requirements. Assignments may change or vary based on mission needs. Safety and quality awareness and compliance are required.

Security Requirements:

  • Candidates must be able to obtain and maintain required Government credentials and access approvals.

Key Candidate Attributes

  • Electronics and instrumentation fundamentals
  • Understanding of meteorological observation systems and weather instrumentation
  • Ability to troubleshoot and maintain technical systems
  • Mechanical aptitude and field maintenance experience
  • Ability to interpret schematics and technical documentation
  • Familiarity with electronic test equipment
  • Strong safety and procedural compliance mindset
  • Willingness to work outdoors and in operational environments
  • Ability to climb towers and perform physically demanding work
  • Strong teamwork, communication, and learning aptitude
  • Willingness to travel and support remote mission operations
  • Mission-focused attitude and commitment to operational excellence

ARES Benefits:

ARES offers a competitive compensation and benefit package. Full time employees may participate in:

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA/FSA Accounts
  • Life & Disability Insurance
  • Critical Illness & Accident Insurance
  • ESOP
  • 401(k) Plan
  • Paid Time Off & Holidays

 ARES is an equal opportunity employer and complies with E-Verify. We believe in hiring a diverse workforce and fostering an inclusive culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. ARES shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a).