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Edge Ai Machine Learning Jobs in Raleigh, NC (NOW HIRING)

AI/ML Intern

Durham, NC ยท On-site

$14.50 - $19.25/hr

... edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you ... Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

AI/ML Intern

Durham, NC

$14.50 - $19.25/hr

... edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you ... Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

AI/ML Intern

Durham, NC ยท On-site

$14.50 - $19.25/hr

... edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you ... machine learning concepts, NLP, and deep learning architectures. โ€ข Familiarity with vector ...

New

AI/ML Intern

Durham, NC ยท On-site

$14.50 - $19.25/hr

... edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you ... Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental ...

... edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you ... machine learning concepts, NLP, and deep learning architectures. ยท Familiarity with vector ...

New

Machine Learning Engineer

Raleigh, NC ยท On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... edge projects. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... edge projects. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... edge projects. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing ...

Machine Learning Compiler

Raleigh, NC ยท On-site

$160.60K - $240.80K/yr

Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI accelerators for the Cloud and Datacenter market. This role combines deep technical expertise ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Machine Learning & Operations Engineer

Durham, NC ยท Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Passion for building scalable AI infrastructure Why Join OptiTrack? * Work on cutting-edge motion ...

Machine Learning & Operations Engineer

Durham, NC ยท Remote

$67.20K - $90.80K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Passion for building scalable AI infrastructure Why Join OptiTrack? * Work on cutting-edge motion ...

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Showing results 1-20

Edge Ai Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of May 30, 2026, the average yearly pay for edge ai machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Raleigh, NC? The most popular types of Edge Ai Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Edge Ai Machine Learning jobs in Raleigh, NC? For Edge Ai Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Edge Ai Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Edge Ai Machine Learning jobs? Cities near Raleigh, NC with the most Edge Ai Machine Learning job openings:
Infographic showing various Edge Ai Machine Learning job openings in Raleigh, NC as of May 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.
AI/ML Intern

AI/ML Intern

Jaggaer

Durham, NC โ€ข On-site

$14.50 - $19.25/hr

Other

Medical, Retirement, PTO

Posted 3 days ago


Job description

Overview

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses. For more information, visit www.jaggaer.com

JAGGAER is a proven industry leader of comprehensive sourcing & procurement solutions. Our SaaS-based, source-to-settle solution provides unparalleled visibility, insights and recommendations to procurement leaders and suppliers. The result is a fluid supply chain driven by powerful spend analysis, comprehensive contract management and efficient accounts payable solutions.

Principal Responsibilities

We are seeking AI/ML Interns to join our AI & Innovation team. Our team is building the next generation of intelligent procurement solutions, leveraging Agentic AI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and other cutting-edge AI technologies to transform how organizations manage sourcing and spend.

As an intern, you will contribute to real AI projects from day one-designing and building RAG pipelines, prototyping agentic workflows, and integrating LLMs into our product ecosystem. You will collaborate closely with our engineering and data science teams to bring AI-driven features from concept to production.

As an AI/ML Intern, we expect you will learn about JAGGAER's business, our customers, and our technology while gaining hands-on experience with state-of-the-art AI tools and frameworks. You will have access to experienced engineers and researchers who are eager to mentor you and are equally interested in the fresh perspectives you bring. You will start working on meaningful AI projects right away.

Position Requirements

ROLE RESPONSIBILITIES

Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embedding models, and LLM APIs.

Prototype and build agentic AI workflows that autonomously plan, reason, and execute multi-step tasks within our procurement platform.

Evaluate and benchmark LLMs and AI models for accuracy, latency, cost, and relevance across different procurement use cases.

Develop and refine prompt engineering strategies to improve the quality and reliability of LLM-generated outputs.

Build data ingestion and preprocessing pipelines to prepare enterprise documents for embedding and retrieval.

Research emerging AI techniques (e.g., function calling, multi-agent orchestration, fine-tuning) and present findings to the team.

Contribute to our library of reusable AI components, tools, and integration patterns.

Participate in demos and feedback sessions to validate AI features with internal stakeholders and customers.

Document AI experiments, model performance metrics, and architectural decisions to build our team's knowledge base.

WHAT YOU WILL BRING

Currently pursuing a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.

Strong programming skills in Python; familiarity with AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or scikit-learn.

Exposure to LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, or similar) is a plus.

Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) and embedding techniques is a plus.

Excellent communication, organization, and interpersonal skills with a genuine curiosity about emerging AI technologies.

Relevant coursework or personal projects in AI, machine learning, or NLP are highly valued.

SUCCESS IN THIS POSITION

Demonstrates strong problem-solving skills and a passion for applying AI to real-world procurement challenges

Collaborates effectively with engineers, data scientists, and product managers to deliver AI-powered solutions

Embraces rapid prototyping and iterative experimentation-comfortable with ambiguity and evolving AI technologies

Balances research exploration with a bias toward shipping-turning AI experiments into production-ready features

Takes initiative in learning new AI tools, techniques, and frameworks with minimal direction

Brings fresh ideas on how AI can improve our products, processes, and customer outcomes

Finds genuine excitement in pushing the boundaries of what AI can do for enterprise procurement

WHAT WE OFFER

We strive to support our Rockstar's & their families. Your health & wellbeing are important. JAGGAER offers a variety of programs to help you manage your overall wellness and be your best self.

At JAGGAER you'll find great medical plans, adoption benefits, wellness reimbursement, generous parental leave, 401(k) match, a flexible work environment, no limit vacation days for exempt employees and much more!

OUR VALUES

Our values are at the core of who we are at JAGGAER. You will see these values entrenched in how we support our customers, work with team members, build our products and in the culture we've created.

Passion: Our team is passionate about the work we do and the impact we're making.

Humility: We respect and learn from our teammates in pursuit of the larger company mission - to simplify procurement with a relentless customer focus.

Empathy: We constantly seek to understand the perspectives of teammates, customers, partners, and other members of our community.

Transparency: We're clear about our plans, processes, and goals so nothing comes as a surprise.

Accountability: We measure ourselves against the expectations of our customers and stakeholders, as well as our community at large.

EEO

JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, or other applicable legally protected characteristics.

ACCESSIBILITY

JAGGAER is committed to providing access and reasonable accommodation to applicants. If you are a qualified individual with a disability or a disabled veteran and you think you may require an accommodation for any part of the recruitment process, please send a request to: hr@jaggaer.com All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Employment Type: OTHER