2026 Summer Intern - AI Enablement

Genentech • South San Francisco, CA • 2d ago

The Position

Department Summary

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 AI Enablement (AIE) team (part of the Data and Digital Catalyst organisation) develops AI tools and frameworks which empower our scientists and accelerate decision making. We work on diverse and impactful projects including Agents and core services for Agentic AI teams, MLOps frameworks for orchestration & deployment and LLM observability.

This internship position is based in South San Francisco, On Site.

The Opportunity

Design and implement frameworks & agents across diverse use cases with an emphasis on real-world impact e.g. lowering the bar to entry for end users

Build production systems that go beyond proof of concepts by addressing scalability, reliability and observability challenges

Work closely with internal stakeholders to integrate and optimize the use of our tools into their systems

Program Highlights

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 challenging and impactful software systems

Opportunity to work with and be mentored by experienced software and AI/ML engineers

Who You Are

Required Education

Must be pursuing a Bachelor's degree (currently enrolled).

Must have attained a Bachelor's degree and be pursuing a Master's Degree (currently enrolled).

Must have attained a Master's degree and be pursuing a PhD Degree (currently enrolled).

Required Majors

Computer Science, Software Engineering, Information Science, Data Science.

Required Skills

Proficiency in Python and experience writing clean, modular code

Familiarity with common agent development frameworks and patterns (e.g. langgraph, llamaindex, ReAct, Reflection)

Basic understanding of Docker

Experience with version control systems like Git

Preferred Knowledge, Skills and Qualifications

Excellent communication, collaboration and interpersonal skills

Familiarity with designing and building frameworks & services (e.g. SDKs, REST or gRPC APIs)

Familiarity with major AI APIs (e.g. OpenAI, Gemini)

Familiarity with orchestration frameworks (e.g. Dagster, Airflow)

Familiarity with vector databases and search (e.g. pgvector, Faiss)

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of the state of California is $50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

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