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Internship Machine Learning Compiler Engineer Jobs in California, MD

Senior Systems Engineer

Dahlgren, VA · On-site

$106K - $145K/yr

Apply big data, machine learning, cloud computing, and microservice architecture principles to the ... Support the engineering and integration of cybersecurity requirements, security controls, and ...

Senior Systems Engineer

Dahlgren, VA · On-site

$106K - $145K/yr

Apply big data, machine learning, cloud computing, and microservice architecture principles to the ... Support the engineering and integration of cybersecurity requirements, security controls, and ...

Senior Principal AI/ML Developer

California, MD · On-site +1

$120K - $165K/yr

Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in ...

Sr. Software Engineer

Dahlgren, VA · On-site

$124K - $164K/yr

The Sr Software Engineer will be responsible for the design, development, testing, and ... machine learning. Responsibilities : • Develop, maintain, and enhance software applications ...

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... Collaborate with data scientists to build pipelines for training and deploying machine learning ...

Sr. Software Engineer

Dahlgren, VA · On-site

$140K - $160K/yr

The Sr Software Engineer will support the design, development, testing, and documentation of ... Big data, data mining, machine learning, or artificial intelligence techniques * Successful ...

Jr-to-Mid Software Developer

Dahlgren, VA · On-site +1

$79K - $109K/yr

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

Jr-to-Mid Software Developer

Dahlgren, VA · On-site +1

$79K - $109K/yr

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

New

Software Engineer

Dahlgren, VA · On-site

$95 - $115/hr

Overview As the Software Engineer working for Hepburn and Sons LLC, you will maintaintechnical and ... Shallhave basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

Software Engineer

Dahlgren, VA · On-site

$95K - $115K/yr

Overview As the Software Engineer working for Hepburn and Sons LLC, you will maintain technical and ... Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

Overview As the Software Engineer working for Hepburn and Sons LLC, you will maintain technical and ... Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

Software Engineer

Dahlgren, VA · On-site

$95K - $115K/yr

As the Software Engineer working for Hepburn and Sons LLC, you will maintain technical and ... Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

Be Seen First

This role combines statistical analysis, data engineering, ontology development, knowledge graph design, and artificial intelligence and machine learning methods to support customer missions and ...

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Showing results 1-20

Internship Machine Learning Compiler Engineer information

See California, MD salary details

$24.4K

$40.8K

$84.3K

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

As of Aug 25, 2026, the average yearly pay for internship machine learning compiler engineer in California, MD is $40,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Compiler Engineer vs Internship Software Engineer?

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

What cities near California, MD are hiring for Internship Machine Learning Compiler Engineer jobs?

Cities near California, MD with the most Internship Machine Learning Compiler Engineer job openings:

Senior Systems Engineer

Analygence

Dahlgren, VA • On-site

$106K - $145K/yr

Full-time

Posted 10 days ago


Job description

Tharros is seeking a Senior Systems Engineer specializing in Cyberspace Systems to support NSWCDD in Dahlgren, VA. This position provides senior-level systems and mission engineering expertise supporting the development, integration, modernization, security, and sustainment of cyberspace capabilities, enterprise software applications, and cyber-enabled mission systems throughout the full system lifecycle.

The position requires a strong understanding of cyberspace systems engineering, cyber mission architectures, enterprise software systems, secure system design, cloud environments, microservices, big data, machine learning, and complex data integration. Projects include engineering support for software-intensive DoD cyberspace systems that integrate information from numerous standard and non-standard data sources, perform correlation and analytics, and deliver actionable information to support operational decision-making.

Requirements

  • Lead cyberspace systems and mission engineering activities across the total system lifecycle, including requirements analysis, architecture and design, development, integration, test and evaluation, modernization, deployment, and sustainment.
  • Identify, analyze, and decompose complex operational and cyber mission requirements into system-level requirements, top-level designs, technical architectures, interfaces, and engineering specifications.
  • Develop and evaluate system architectures for software-intensive DoD cyberspace capabilities, including enterprise applications, cloud environments, microservices, data platforms, analytics capabilities, and interconnected mission systems.
  • Lead the integration of information from multiple standard and non-standard data sources, supporting data ingestion, correlation, analytics, visualization, and presentation of mission-relevant information for operational decision-making.
  • Apply big data, machine learning, cloud computing, and microservice architecture principles to the design, development, integration, and implementation of advanced cyberspace capabilities.
  • Support the engineering and integration of cybersecurity requirements, security controls, and secure architecture principles into enterprise software applications, cloud environments, data platforms, and supporting infrastructure.
  • Conduct and support system architecture assessments, technical trade studies, risk assessments, integration analysis, test and evaluation, and verification and validation of complex cyberspace systems.
  • Assess system modifications, interfaces, engineering changes, and emerging technologies for impacts to system performance, interoperability, cybersecurity, data architecture, scalability, and mission effectiveness.
  • Support the integration, testing, transition, and deployment of cyberspace capabilities into DoD operational environments, identifying and resolving complex technical and integration challenges.
  • Participate in technical design reviews, architecture reviews, configuration control boards, engineering working groups, test readiness reviews, and other technical forums as a senior cyberspace systems engineering subject matter expert.
  • Coordinate across systems engineering, software development, cybersecurity, data engineering, cloud engineering, program leadership, and government stakeholders to ensure mission requirements are effectively translated into scalable and secure technical solutions.
  • Provide technical leadership and mentorship to engineers supporting cyberspace systems, enterprise software, cloud architecture, data integration, analytics, machine learning, and mission engineering activities.