What's the tech stack?

Joblaze extracted these technologies from the posting: Data Analysis, Data Science, Machine Learning, Python.

What seniority level is this role?

Graphcore targets intern candidates for this position.

Machine Learning and Data Science Engineering Intern at Graphcore

Joblaze summary

In this internship, the Machine Learning and Data Science Engineer will analyze operational data from data center facilities to enhance AI infrastructure reliability. Key skills include proficiency in Python and familiarity with data analysis libraries, alongside a foundational understanding of machine learning concepts. This role is ideal for undergraduate juniors or seniors, or master's students with relevant coursework or experience. The intern will collaborate closely with the Facilities Reliability Engineering team, gaining hands-on experience in a supportive environment.

Joblaze insights

Listed today — first seen on Joblaze October 3, 2026. Last confirmed on Graphcore's careers page October 3, 2026.

Quick facts

What's the tech stack?: Joblaze extracted these technologies from the posting: Data Analysis, Data Science, Machine Learning, Python.
What seniority level is this role?: Graphcore targets intern candidates for this position.
Is this full-time or contract?: Internship for this Machine Learning and Data Science Engineering Intern role at Graphcore.

From the original posting

About the job

Turn your machine learning coursework into insight that helps AI infrastructure run more reliably.

As a Machine Learning and Data Science Engineer Intern, you will analyze telemetry from data center facilities and engineering infrastructure. You will apply data science and machine learning methods to real operational data.

Your work will help engineers spot patterns, understand anomalies and make better-informed decisions. You will learn how infrastructure data connects to reliability, performance and day-to-day operations.

You will clean and explore datasets, build reproducible analyses and evaluate predictive models. You will also create visualizations, document assumptions and share findings with technical colleagues.

This internship gives you practical experience with real-world infrastructure data, supported by engineers who value curiosity and clear thinking.

The team and culture

You will work with the Facilities Reliability Engineering team in Austin. The team supports infrastructure used to develop and test the next generation of AI systems.

Work happens through clear operational questions, shared data exploration, prototype analysis and practical review with engineers. Decisions are shaped by evidence, operational knowledge, reproducible results and honest discussion of uncertainty.

You will own defined tasks with guidance, feedback and room to ask questions. As an intern, you will build confidence by turning data into insight engineers can use.

What we’re looking for

Current enrollment at junior or senior undergraduate level, or in a master's program, in data science, AI, machine learning, computer science, statistics or a related field
Foundational knowledge of machine learning, statistics and data analysis through coursework, research, projects or practical experience
Programming experience in Python, with familiarity using common data-analysis libraries
Experience preparing, exploring, analyzing and visualizing datasets
Understanding of supervised machine learning concepts, including regression, classification, model training and model evaluation
Clear communication, a methodical approach to problem-solving and willingness to seek guidance when needed

While we have outlined a set of requirements, we value transferable skills and diverse experiences.

Benefits

Flexible working: Balance your work and personal life with greater flexibility
Comprehensive healthcare: Medical, dental and vision coverage to help keep you and your family healthy
Phantom equity: Share in Graphcore’s success
Tax-advantaged healthcare savings: Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs) to help you make the most of your healthcare spending
Peace of mind protection: Disability and life insurance to provide financial security when you need it most
Retirement planning support: A 401(k) plan to help you invest in your future
Commuter benefits: Help cover the cost of your daily commute
Wellbeing resources: Access to wellness services that support your physical and mental health
Employee Assistance Program (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognize that everyone brings different strengths and perspectives. If you need any accommodations during the interview process, just let us know - we're happy to support you.

Join the Team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Ready to spend your internship applying machine learning to real infrastructure data?

Apply now to join Graphcore as a Machine Learning and Data Science Engineer Intern.

Standard company text repeated across Graphcore's postings is omitted here.