2026 Summer Intern - DDC - Applied AI Engineer - Agents & Evaluation
About The Position
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. CS-COE DDC is seeking exceptional undergraduate student interns with a strong interest in applied AI engineering, large language model (LLM) systems, and rigorous evaluation at production scale. Ideal candidates are motivated builders who can take ideas from research papers and translate them into robust, maintainable, and scalable solutions. This internship position is located in South San Francisco, CA (on-site).
Requirements
- Must be pursuing a Bachelor’s degree (currently enrolled student)
- Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).
- Computer Science, Software Engineering, Data Science, Statistics, or a related technical field
- Proficiency in Python and experience writing clean, modular, and testable code.
- Familiarity with building services or pipelines that integrate multiple components (e.g., models, data sources, APIs).
- Familiarity with common industry agent frameworks (langgraph, llamaindex, etc)
- Experience with version control systems like Git
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
- Some experience with javascript
Responsibilities
- Design and implement scalable evaluation pipelines for LLM-based agents across diverse use cases, with an emphasis on repeatability, robustness, and real-world relevance.
- Build systems that go beyond PoCs by addressing edge cases, failure modes, versioning, and performance constraints in agent-based LLM systems.
- Work closely with internal stakeholders to integrate evaluation frameworks into applied AI systems used across the drug discovery and development pipeline.
Benefits
- Intensive 12-week, full-time (40 hours per week) paid internship
- Program start dates in May/June (Summer)
- A stipend, based on location, to help offset living expenses
- Ownership of meaningful, business-critical applied AI projects
- Opportunity to work with experienced AI engineers and ML practitioners in the biotechnology industry
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
