Accuris

AI/Machine Learning Summer Intern (Hybrid)

Posted Yesterday

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Denver CO USA

In-Office

17-17 Hourly

Internship

Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing

Enabling Digital Transformation in Engineering Organizations

The Role

The AI/Machine Learning Summer Intern will design and build AI prototypes applying ML techniques collaborating with teams and delivering a working tool and presentation by summer's end.

Summary Generated by Built In

AI/Machine Learning Summer Intern Supply Chain Intelligence | Accuris
Division: Supply Chain Intelligence
Level: Undergraduate (Junior/Senior) or Graduate (MS/MBA)
Location: Denver CO - Hybrid (3 days on-site per week)
Duration: June 1 - August 3-10 2026 | 9-10 weeks
Compensation: Paid - $17/hour
ABOUT THE ROLE
Accuris's Supply Chain Intelligence division is transforming how engineers procurement teams and sustainability leaders understand the global electronics supply chain. We are looking for a creative technically strong AI/ML Summer Intern to join our team and help build the next generation of AI-powered capabilities - from carbon footprint calculators for electronic components to predictive algorithms for supply chain risk and availability.
This is a hands-on build-first internship. You will go from idea to working prototype collaborating closely with product managers engineers and data scientists. By the end of the summer you will have shipped a real AI tool and presented it to audiences ranging from engineers to senior executives.
WHAT YOU'LL WORK ON

Design and build AI-powered prototypes such as carbon footprint calculators for electronic components or predictive models for supply chain risk demand and component availability.
Apply LLM and generative AI techniques to create intelligent data-driven tools using platforms like OpenAI Anthropic Claude or LangChain.
Develop and validate machine learning models using Python and standard ML libraries (scikit-learn PyTorch TensorFlow etc.).
Work with cloud-based data pipelines SQL databases and dashboards to source and transform supply chain data.
Use rapid "vibe coding" methodologies to iterate quickly on AI concepts and validate ideas early.
Translate your technical work into clear compelling presentations for both engineering teams and executive audiences.

WHAT YOU'LL DELIVER
By the end of the summer you will be expected to deliver two things:

A working AI prototype - a functional tool or model that demonstrates clear value against a supply chain intelligence use case (e.g. component carbon footprint estimator predictive availability scorer or similar).
An executive-ready presentation - a polished deck communicating your approach methodology findings and recommended next steps for the business.

REQUIRED QUALIFICATIONS

Currently enrolled as a Junior or Senior undergraduate or a Graduate (MS or MBA) student in Computer Science Data Science Electrical Engineering Information Systems or a related field.

Demonstrated experience building AI applications - whether through coursework personal projects open-source contributions or prior internships.

Proficiency in Python with hands-on experience using ML libraries such as NumPy Pandas scikit-learn PyTorch or TensorFlow.

Experience working with LLM/GenAI platforms (e.g. OpenAI API Anthropic Claude LangChain RAG pipelines or prompt engineering).

Familiarity with cloud platforms (AWS Azure or GCP) and data tools including SQL and data pipeline or dashboard tooling.

Strong written and verbal communication skills; able to present technical concepts clearly to both technical peers and non-technical stakeholders.

Self-starter with the ability to move fast iterate and learn from ambiguous real-world data problems.

PREFERRED QUALIFICATIONS

Prior exposure to supply chain electronics manufacturing procurement or sustainability/ESG domains.
Familiarity with carbon accounting frameworks life cycle assessment (LCA) or sustainability data (e.g. GHG Protocol Scope 3 emissions).
Experience building and evaluating predictive models for time-series classification or regression problems.
Active portfolio of AI/ML projects (e.g. GitHub Kaggle Hugging Face or personal website).
Comfort with rapid prototyping and "vibe coding" - the ability to quickly scaffold and iterate on AI-driven tools.

ABOUT ACCURIS
Accuris provides engineers procurement specialists and product teams with trusted data and intelligence to design better products and build more resilient supply chains. Our Supply Chain Intelligence division delivers real-time component data risk analytics and predictive insights to help global organizations make faster smarter sourcing decisions. This internship puts you at the frontier of AI applied to one of the world's most complex and consequential industries.
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The Company

HQ: Denver CO

1200 Employees

Year Founded: 1959

What We Do

Accuris empowers the next generation of engineers to solve tomorrow’s problems today. Our combination of trusted data insights and innovative technology solutions enable business and technical leaders to transform their workflows and make decisions with conviction - bringing their dreams to life in faster smarter and cleaner ways.

Why Work With Us

We’re a global team that strives to think differently – combining the knowledge and resources of an established company with the bold nature of a startup. If you’re eager to make a lasting impact to discover and bring to life new value and opportunities and have a bias toward action and learning you’re in the right place.