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Machine Learning Research Intern Jobs in Raleigh, NC

2027 Intern - Technology

Durham, NC ยท On-site

$14.50 - $19.25/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Raleigh, NC

$14.50 - $19.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Raleigh, NC ยท On-site

$14.50 - $19.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Durham, NC

$14.50 - $19.25/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

You will work with researchers on projects across the company that require memory in different ... Experience creating machine learning algorithms for vision and/or language problems and deploying ...

Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more ... You will help design and implement machine learning models, maintain computational pipelines, and ...

Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more ... You will help design and implement machine learning models, maintain computational pipelines, and ...

Learning & Development Corporate Intern

Raleigh, NC ยท On-site

$13.50 - $18/hr

This position is for a detail-oriented Learning and Development Intern to support our professional ... Research & Analysis * Conduct research on learning trends, best practices, and tools to enhance ...

Learning & Development Corporate Intern

Raleigh, NC ยท On-site

$13.50 - $18/hr

This position is for a detail-oriented Learning and Development Intern to support our professional ... Research & Analysis * Conduct research on learning trends, best practices, and tools to enhance ...

Learning & Development Corporate Intern

Raleigh, NC ยท On-site

$13.50 - $18/hr

This position is for a detail-oriented Learning and Development Intern to support our professional ... Research & Analysis * Conduct research on learning trends, best practices, and tools to enhance ...

Mixed Signal Engineer Intern

Durham, NC ยท On-site

$22 - $41/hr

Develop and validate machine learning models for analog design automation. * Analyze design data ... Document research findings and present progress to the team. Must Have Skills: * Strong foundation ...

Showing results 41-60

Machine Learning Research Intern information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do machine learning research intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning research intern 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 does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Raleigh, NC?

For Machine Learning Research Intern jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Machine Learning Research Intern jobs?

Cities near Raleigh, NC with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Lead Machine Learning Engineer

Motion Recruitment Partners, LLC

Raleigh, NC โ€ข On-site

$99K - $131K/yr

Other

Posted 21 days ago


Job description

Our Client serves customers in over 150 countries with trusted legal, regulatory, and business information. They are transforming the legal industry through cutting-edge AI, scalable data platforms, and intelligent research systems that power high-stakes decision-making for legal professionals worldwide. Their Global AI Platform Team builds the foundational infrastructure behind next-generation AI products, including LLM-powered research assistants, retrieval systems, and enterprise-grade agentic workflows.
We are seeking a Sr. Machine Learning Engineer to define and lead the architecture of scalable AI/ML and agentic systems across our global product portfolio. This is a senior technical leadership role for someone who thrives at the intersection of:
  • Large-scale distributed ML systems
  • LLM and RAG architectures
  • Agentic AI frameworks and tool orchestration
  • Enterprise platform engineering

You will shape the long-term AI platform strategy and establish technical standards that impact millions of users
What You'll
  • Do Architect Scalable AI Platforms
  • Define reference architecture for LLM, ML, and agent-based systems across products
  • Design high-availability, low-latency inference platforms for global scale
  • le.Establish reusable platform components for model lifecycle, deployment, and monitori
  • Lead Agentic AI & Tool Ecosystems
  • Architect multi-step, reasoning-driven agent systems
  • Design orchestration patterns for tool use, API invocation, and structured function calling
  • Lead implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management
  • Define guardrails, permissions, and audit mechanisms for enterprise-safe AI systems
  • Elevate Engineering Standards. Set best practices for MLOps, CI/CD, observability, and system reliability
  • Embed Responsible AI principles across platform architecture
  • Mentor senior engineers and influence technical direction across teams

What We're Looking
For Experience/Education requirement
  • 10+ yrs of experience with Master's degree or 12+ yrs of experience with bachelor degree
  • 10+ years building production-grade ML systems at scale
  • Extensive experience with LLMs, generative AI, and RAG systems in real-world deployments
  • Proven expertise designing distributed systems in cloud environments (AWS, Azure, or Google Cloud Platform)
  • Hands-on experience with Kubernetes, containerization, and scalable inference systems
  • Experience designing agentic systems and tool orchestration frameworks
  • Experience implementing or governing MCP servers or structured tool-calling architectures
  • Technical Strength/Strong Python engineering background
  • Experience with vector databases and search systems
  • Deep understanding of model evaluation, reliability, and monitoring
  • Strong architectural judgment and systems thinking
  • Leadership/Demonstrated ability to influence technical direction across teams
  • Strong communication skills and executive presence
  • Experience mentoring senior engineers or leading cross-functional initiatives