AI Data Science Intern, MS - Summer 2027

Location: Hybrid role in Santa Clara, California, United States.

Expected base pay: $32–$63 per hour.

Company

hirify.global develops semiconductor solutions and data infrastructure technologies for enterprise, cloud, AI, and carrier architectures.

What you will do

• Build and maintain scalable ETL/ELT data pipelines in Databricks and Snowflake, including automated data quality checks.
• Develop, evaluate, and deploy machine learning models and AI applications, including LLM-based and agentic workflows, for supply chain, engineering productivity, and finance use cases.
• Analyze large, multi-source datasets to identify trends, anomalies, and improvement opportunities, and define metrics to measure them.
• Design interactive dashboards and visualizations in Power BI for business stakeholders.
• Document pipelines and models, present findings and recommendations, and review progress with a technical mentor, the Data Office team, and business partners.

Requirements

• Currently pursuing a Master’s degree in Data Science, Computer Science, Statistics, Data Engineering, or a related field, with expected graduation between Fall 2027 and Summer 2028.
• Proficiency in Python for data processing, analysis, and modeling, including tools such as pandas, NumPy, and scikit-learn.
• 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 concepts.
• Solid foundation in statistics, machine learning, and exploratory data analysis, with familiarity with large language models.
• Ability to communicate technical findings clearly to technical and non-technical audiences.

Nice to have

• Hands-on experience with Databricks, Snowflake, Spark/PySpark, Delta Lake, Airflow, or dbt.
• Experience building dashboards and reports in Power BI, Tableau, or similar business intelligence tools.
• Experience building LLM and agentic applications with frameworks such as LangChain or LangGraph, including RAG, prompt engineering, and tool integrations such as MCP.
• Prior project, internship, or research experience in data engineering or data science.
• Familiarity with AWS or Azure and Git/CI/CD.

Culture & Benefits

• Hybrid work with regular team meetings, progress reviews, feedback, and technical mentorship.
• Intern benefits include medical, dental, and vision coverage.
• Perks and discounts, mental health resources, and paid holidays are provided.
• Additional compensation may be available for PhD intern candidates.
• The role may require eligibility to access export-controlled technology; applicants may be subject to an export license review process.

Hiring process

• Interviews assess individual experience, thought process, and communication skills in real time.
• AI tools, transcription apps, automated answer generators, and automated note-taking bots are not permitted during interviews.