ZipRecruiter

Log In

1

Machine Learning Summer 2024 Intern Jobs in Colorado

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

CoorsTek

Computational Materials Engineering Intern

Golden, CO · On-site

$17.25 - $22.50/hr

At CoorsTek, our summer internship program is more than just a job - it's an opportunity to make a ... Train, validate, and deploy machine learning models to guide materials development Job Requirements ...

yes

FP&A Summer Intern - Data Science

Denver, CO

... Summer 2026. As a Data Science intern, you will play a key role in supporting critical finance ... Learn to build and evaluate introductory machine learning models (e.g., linear/logistic regression ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Summer 2024 Intern JobsMachine Learning Summer 2024 Intern Jobs in Colorado

Machine Learning Summer 2024 Intern information

What are the key skills and qualifications needed to thrive as a Machine Learning Summer 2024 Intern, and why are they important?

To thrive as a Machine Learning Summer 2024 Intern, you typically need a solid background in mathematics, statistics, and programming (often in Python or R), along with coursework or experience in machine learning concepts. Familiarity with tools and frameworks like TensorFlow, PyTorch, and scikit-learn, as well as version control systems such as Git, is usually expected. Strong analytical thinking, effective communication, and a willingness to learn new concepts quickly are valuable soft skills in this role. These skills are critical for efficiently contributing to projects, collaborating with team members, and adapting to the fast-evolving field of machine learning.

What types of projects can a Machine Learning Summer 2024 Intern expect to work on, and how do these contribute to their professional development?

As a Machine Learning Summer 2024 Intern, you can expect to work on real-world projects such as building and refining predictive models, analyzing large datasets, or supporting the deployment of machine learning solutions into production. Interns frequently collaborate with data scientists, software engineers, and business stakeholders, gaining valuable experience in both the technical and collaborative aspects of the field. These projects help interns develop practical skills with current ML tools and frameworks, expand their understanding of industry workflows, and often result in tangible contributions to the organization's goals. This hands-on exposure is instrumental in building a strong portfolio and can open doors to full-time opportunities after graduation.

What does a Machine Learning Summer 2024 Intern do?

A Machine Learning Summer 2024 Intern typically assists in designing, developing, and testing machine learning models and algorithms under the guidance of experienced data scientists and engineers. Responsibilities may include data preprocessing, feature engineering, model evaluation, and contributing to research projects or real-world applications. Interns often collaborate with teams to solve complex problems, gain hands-on experience with popular machine learning frameworks, and present their findings. This role is ideal for students looking to apply their academic knowledge in a practical, professional setting while learning from industry experts.

What is the difference between Machine Learning Summer 2024 Intern vs Data Science Summer 2024 Intern?

AspectMachine Learning Summer 2024 InternData Science Summer 2024 Intern
Required SkillsProgramming (Python, R), ML algorithms, statisticsData analysis, statistics, programming, visualization
Work EnvironmentDeveloping ML models, algorithm optimizationData cleaning, analysis, reporting
Industry UsageAI, automation, predictive modelingBusiness insights, reporting, decision-making

While both roles involve working with data, Machine Learning Summer 2024 Interns focus on developing and optimizing machine learning models, whereas Data Science Summer 2024 Interns primarily analyze data to generate insights. Both positions require programming skills and statistical knowledge but differ in their core tasks and application areas.

What are popular job titles related to Machine Learning Summer 2024 Intern jobs in Colorado? For Machine Learning Summer 2024 Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Summer 2024 Intern jobs in Colorado look for? The top searched job categories for Machine Learning Summer 2024 Intern jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Summer 2024 Intern jobs? Cities in Colorado with the most Machine Learning Summer 2024 Intern job openings:
Machine Learning Summer 2024 Intern jobs near you

AI/Machine Learning, Summer Intern (Hybrid)

Accuris

Denver, CO • On-site

$17/hr

Internship

Posted 29 days ago

Job description

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
  1. 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.
  2. Demonstrated experience building AI applications - whether through coursework, personal projects, open-source contributions, or prior internships.
  3. Proficiency in Python with hands-on experience using ML libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
  4. Experience working with LLM/GenAI platforms (e.g., OpenAI API, Anthropic Claude, LangChain, RAG pipelines, or prompt engineering).
  5. Familiarity with cloud platforms (AWS, Azure, or GCP) and data tools including SQL and data pipeline or dashboard tooling.
  6. Strong written and verbal communication skills; able to present technical concepts clearly to both technical peers and non-technical stakeholders.
  7. 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.

Apply