6 days ago
Pleasanton, CA, USAIntern
Responsibilities
- Contribute across the full machine learning lifecycle, from data processing and experimentation through model and system deployment.
- Apply machine learning, deep learning, and LLM-based techniques such as retrieval and prompt tuning to improve search and user experiences.
- Write production-quality code and build scalable components for AI and ML products.
- Build and deploy APIs and microservices using Docker and Kubernetes.
- Design and run evaluations to measure model and system quality and guide future improvements.
Requirements
- Currently enrolled in a bachelor’s or master’s degree program in computer science, machine learning, data science, artificial intelligence, software engineering, computer engineering, mathematics, statistics, or a related field.
- Have less than 12 months of previous professional work experience and anticipate graduating between December 2027 and June 2028.
- Be available for a full-time, in-person, 12-week Summer 2027 internship and return to a university degree program afterward.
- Have experience with software engineering and machine learning concepts through coursework, research, internships, or personal projects.
- Have programming experience in Python or another language used for machine learning, data processing, or software development.
- Have experience with one or more of RAG, NLP, Pandas, PySpark, or AWS.
- Have familiarity with AI tools such as Gemini, Claude, Cursor, Codex, or similar tools.
- Demonstrate interest in LLM approaches, curiosity about AI and ML systems, and strong verbal and written communication skills.
Benefits
- Full-time, in-person, 12-week Summer 2027 internship in the listed locations.
- Participation in Workday Early Career Programs with applied learning, personalized coaching, and connection events.
- Technical training and ecosystem deep dives through the Product & Technology Atmosphere program.
- Flexible work approach with at least 50% of time each quarter spent in the office or field.
- Potential eligibility for the Workday Bonus Plan or role-specific bonus and annual refresh stock grants.
Tech Stack
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.