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Machine Learning Software Engineer Intern Jobs in Durham, NC

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

RELX Group plc

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Collaborate with other ML and software engineers to produce software/data deliverables. This may ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Collaborate with other ML and software engineers to produce software/data deliverables. This may ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Collaborate with other ML and software engineers to produce software/data deliverables. This may ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

Requirements * 10 + years of Machine Learning/Software Engineer experience * Master's degree or bachelor's degree, computer science degree is highly desirable. * Strong software engineering ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to ... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Durham, NC

Machine Learning Software Engineer Intern information

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How much do machine learning software engineer intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for machine learning software engineer intern in Durham, NC is $24.56, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $27.88 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What cities near Durham, NC are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Durham, NC with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Software Engineer Intern jobs near you

Machine Learning Engineer Lead

Raleigh, NC

LexisNexis
IT Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

193rd of 499 rated business services

People enjoy working here

Good employer

Paid breaks

Learn more about LexisNexisexternal

$115K - $192K/yr

Full-time

Re-posted 20 days ago

Job description

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

Do you love collaborating with teams to solve complex technical problems?

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.

In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.

Responsibilities:

  • Lead, mentor, and grow a team of 4-5 ML engineers.

  • Provide architectural direction and code-level guidance.

  • Establish engineering best practices for ML system design, testing, and deployment.

  • Conduct design reviews, performance reviews, and technical roadmap planning.

  • Architect distributed ML systems serving multiple global products.

  • Standardize infrastructure patterns for LLM serving and retrieval systems.

  • Define and implement enterprise-ready agentic frameworks.

  • Architect multi-step reasoning systems.

  • Lead decisions on deterministic workflows vs. autonomous agents.

  • Implement guardrails, safety layers, and traceability mechanisms.

  • Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.

  • Establish CI/CD standards for ML lifecycle management.

  • Ensure compliance with enterprise data governance and responsible AI standards.

Requirements

  • 8-10 years of Machine Learning/Software Engineer experience

  • 2-3 years of people management experience.

  • Master's degree or bachelor's degree, computer science degree is highly desirable.

  • Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data

  • Experience with ML deployment to production

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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