AI Data Science Intern (Santa Clara)

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the potential of tomorrow. Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

The Data Office, part of Marvell's CIO organization, builds the data and analytics foundation that helps the company make faster, better decisions across supply chain, finance, engineering, sales, and operations. The team engineers data pipelines that bring Marvell's core enterprise systems together on platforms such as Databricks, Snowflake, and Power BI, and turns that data into trusted datasets, dashboards, machine learning models, and AI agents.

Their work helps Marvell predict supply risk, improve product development efficiency, and put AI-driven insights in the hands of business leaders. As an intern, you will work on real projects that go into production and are used by teams across the company.

What You Can Expect

• Build and maintain scalable data pipelines (ETL/ELT) in Databricks and Snowflake that ingest, clean, and transform enterprise data, with automated data quality checks
• Develop, evaluate, and deploy machine learning models and AI applications, including LLM-based and agentic workflows, that address business problems in supply chain, engineering productivity, or finance
• Analyze large, multi-source datasets to uncover trends, anomalies, and improvement opportunities, and define the metrics that measure them
• Design interactive dashboards and visualizations in Power BI that communicate insights to business stakeholders
• Document pipelines and models, and present findings and recommendations to your mentor, the Data Office team, and business partners at the end of your internship

This is a hybrid role. You will be paired with a technical mentor and will meet regularly with the team to review progress and get feedback.

What We Are Looking For

• Currently pursuing a Master's Degree in Data Science, Computer Science, Statistics, Data Engineering, or a related field, with an expected graduation date between Fall 2027 and Summer 2028
• Proficiency in Python for data processing, analysis, and modeling (e.g., pandas, NumPy, scikit-learn), and strong SQL skills for querying, transforming, and modeling large datasets
• Understanding of data engineering fundamentals, including ETL/ELT design, data warehousing, data modeling, and pipeline orchestration
• Solid foundation in statistics, machine learning, and exploratory data analysis, with familiarity with modern AI models such as large language models (LLMs)
• Ability to communicate technical findings clearly to both technical and non-technical audiences
• Preferred: Hands-on experience with data platforms and tools such as Databricks, Snowflake, Spark/PySpark, Delta Lake, Airflow, or dbt
• Preferred: Experience building dashboards and reports in Power BI, Tableau, or similar BI tools
• Preferred: Hands-on experience building AI applications with LLMs and agentic frameworks such as LangChain, LangGraph, or similar, including RAG, prompt engineering, and tool integrations (e.g., MCP)
• Preferred: Prior project, internship, or research experience in data engineering or data science, with familiarity with cloud platforms (AWS or Azure) and Git/CI/CD

Compensation and Benefits

The expected base pay range for this role is $32 to $63 per hour. Starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions, and the range may be modified based on market conditions.

Marvell offers benefits built around four pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for interns include medical, dental, and vision coverage, perks and discounts, mental health resources, and paid holidays. Additional compensation may be available for intern PhD candidates.

Equal Opportunity and Accommodations

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Applicants who need a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at [email protected].

Interview Integrity

Candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators, or automated note-taking bots) during interviews. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws, including the Export Administration Regulations (EAR). Applicants must be eligible to access export-controlled information as defined under applicable law, and all applicants other than U.S. citizens, lawful permanent residents, or protected individuals may be subject to an export license review process prior to employment.