Data Analytics and AI, Intern

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

Our Data Platform team is the central hub for all engineering data, enabling efficient workflows and decision-making across multiple engineering verticals.

We are seeking a Data Analytics and AI Intern to help implement analytics and AI integration tools for our data platform. The ideal candidate will be hands-on, capable of building and testing integrations and solutions catering to a variety of stakeholder needs.

Key Responsibilities:

• Build dashboards tailored to different engineering and business operations.
• Work with Snowflake AI tools to assess their role in our data pipeline and reporting workflows.
• Collaborate with internal stakeholders to gather requirements and provide a recommendation for tool selection.
• Present findings and recommendations via bi-weekly demos with stakeholders and leadership teams.

Required Qualifications:

• Pursuing a Master’s degree in Data Science, Data Engineering, Computer Science, or a related field.
• Hands-on experience with SQL and Python for data manipulation and analysis.
• Familiarity with cloud data warehouses such as Snowflake, BigQuery or Redshift
• Familiarity with data orchestration tools such as Dagster or Airflow, and data modeling frameworks such as dbt.
• Strong communication and presentation skills.

Preferred Qualifications:

• Experience working with BI tools such as Sigma, Looker, Tableau, or Power BI.
• Knowledge of AI/ML integrations with Snowflake.
• Hands-on experience with dbt.

What You’ll Gain:

• Hands-on experience evaluating and implementing a BI tool in a real-world, high-impact environment.
• Exposure to cutting-edge AI and analytics tools within the Snowflake ecosystem.
• Opportunity to work with senior engineers and data professionals on real-world engineering challenges.

This is a unique opportunity to drive critical decision-making within a fast-growing company while gaining practical experience with industry-leading technologies. If you're a proactive, resourceful candidate eager to make an impact, we'd love to hear from you!