About the role#
We are looking for a PhD student to join our data and analytics team as an Applied Machine Learning Scientist Intern. You will work alongside data scientists and engineers to build predictive models and deliver insights that support business operations and leadership.
What you'll do#
- Collaborate with the team to gather, clean, and preprocess data from multiple sources.
- Perform exploratory data analysis to find patterns and trends in large datasets.
- Assist in building and optimizing machine learning models to solve business problems.
- Create data visualizations, reports, and dashboards using Power BI or Python libraries.
- Support the development and deployment of machine learning models in production.
- Work with large datasets using SQL and Python.
What you'll need#
- Currently pursuing a degree in Computer Science, Data Science, or a related field.
- Proficiency in Python for data analysis, including libraries such as pandas, NumPy, scikit-learn, and matplotlib.
- Knowledge of SQL for querying databases.
- Understanding of statistical concepts and machine learning algorithms like regression, classification, and clustering.
- Familiarity with data visualization tools such as Power BI, seaborn, or Plotly.
- Experience with data preprocessing and transformation.
- Familiarity with Generative AI and Large Language Models is a plus.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: This is a paid internship.
About Marvell Technology
Marvell Technology is a semiconductor manufacturing company based in Santa Clara, California. It provides hardware solutions for cloud infrastructure, data centers, and enterprise systems. The company employs over 11,000 people across global offices. Its technical focus includes wireless and wireline connectivity, storage, and consumer electronics.
How to get in at Marvell Technology
Applying early for an internship at Marvell Technology provides a distinct advantage, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person can also help you stand out from the crowd. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
