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 cultureYou 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 GraphcoreGraphcore 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.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
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.
Skills Required
- Current enrollment at the 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
- Familiarity with 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 skills
- Methodical problem-solving approach
- Willingness to seek guidance when needed
What the Team is Saying
Graphcore Compensation & Benefits Highlights
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Healthcare Strength — Company materials list private medical insurance, dental coverage, health cash plans, mental‑health support, and day‑one U.S. medical options via Cigna/Kaiser. Feedback suggests these offerings are a meaningful strength, particularly in the UK.
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Leave & Time Off Breadth — Benefits highlight flexible working hours, unlimited annual leave, generous parental leave, and paid U.S. holidays. Feedback suggests work‑life balance is often described positively alongside these policies.
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Retirement Support — UK information cites pension matching up to 5%, while U.S. listings describe a 401(k) with a 100% company match up to 6%. Feedback suggests these structured contributions are viewed as competitive elements of the package.
Graphcore Insights
What We Do
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Why Work With Us
Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.
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Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
