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Internship Edge Ai Machine Learning Jobs (NOW HIRING)

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits ...

Corning

AI/Machine Learning Engineer

Wilmington, NC

$82K - $112K/yr

Develop and implement AI/ML data science methodologies and AI Products that align with business objectives. * Apply data science techniques, such as machine learning, statistical modeling, and ...

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

$140K - $170K/yr

This is an opportunity to work at the intersection of machine learning, embedded systems, computer vision, and smart consumer technology, bringing cutting-edge AI from research into products used by ...

New

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82K - $112K/yr

Develop and implement AI/ML data science methodologies and AI Products that align with business objectives. * Apply data science techniques, such as machine learning, statistical modeling, and ...

SentinelOne

OR

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... Throughout the internship, you will collaborate with research teams and senior engineers to ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2 ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

... machine learning techniques, deep learning models, digital signal processing techniques ... cutting edge of technology through the generation of patentable ideas • Work with cross ...

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Internship Edge Ai Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship edge ai machine learning jobs pay per year?

As of Jun 6, 2026, the average yearly pay for internship edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are Internship Edge AI Machine Learning positions?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What are the key skills and qualifications needed to thrive as an Internship Edge AI Machine Learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What types of projects can I expect to work on during an Internship in Edge AI and Machine Learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.
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Internship Edge Ai Machine Learning jobs near you
Infographic showing various Internship Edge Ai Machine Learning job openings in the United States as of May 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

AI / Machine Learning Engineer

CyberMedia Technologies

Remote

$117K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.
The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.
We are seeking to hire a AI/Machine Learning Engineer to our team!
Role Overview:
As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows.
Duties and Responsibilities:
  • Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies.
  • Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
  • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data.
  • Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation.
  • MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic).
  • Auditability & Explainability: Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation.
  • Collaboration: Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic.

Skills & Work Experience:
  • Professional Experience: 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks.
  • Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows.
  • Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn)
  • Data Engineering: Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data.
  • Analytical Rigor: Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms.

Preferred:
  • Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms.
  • Experience implementing Generative AI, LLM, or RAG-based solutions.
  • Experience supporting federal IT modernization or data transformation programs.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience applying data governance, privacy, and security best practices in AI/ML solutions.

Education:
Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. Master's degree preferred. Equivalent professional experience will be considered in lieu of a degree.
Clearance:
Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance.
If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:
  • Paid vacation & Sick leave
  • Health insurance coverage
  • Career training
  • Performance bonus programs
  • 401K contribution & Employer Match
  • 11 Federal Holidays

Apply