2025 Fall Intern - Machine learning for Generative AI

Department Summary

gRED Computational Sciences (gCS) is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.  

Computational Biology and Translation (CBT) is a department within gCS that focuses on developing and applying machine learning and computational methods to impact biological discovery, with the ultimate goal of impacting drug discovery and human health. We work collaboratively across disciplines both within and outside gCS.

This internship position is located in South San Francisco, California, on site. 

The Opportunity

We seek a highly motivated intern to join our group in CBT. The successful candidate will have a strong background in machine learning, a passion for quality and scalability, and an interest in creating evaluation systems. You will contribute to developing, deploying and evaluating LLM based agents across different modalities for complex decision-making pipelines. Your work will be at the intersection of deep learning and large-scale optimization, with a focus on evaluation, benchmarking, scaling and model deployment. 

Join us for a 12-week internship (full-time, 40 hours per week) in 2025 at our South San Francisco location (on-site). We offer an exciting opportunity to work on impactful projects in a multidisciplinary environment alongside machine learning scientists, computational biologists, and MLOps engineers, and make a substantial contribution to the field.

Responsibilities:

• Research, design, and implement novel cutting-edge evaluations for agentic systems with applications to drug discovery.

• Drive research on (large-scale) generative AI methods solving computational biology challenges.

• Collaborate with cross-functional teams to evaluate LLM based agents and deploy it into impactful applications for drug discovery and target discovery.

• Opportunity to contribute to publications, presenting results at internal and external scientific conferences.

Program Highlights

• Intensive 12-weeks or 6 months, full-time (40 hours per week) paid internship.

• Program start dates are in September.

• A stipend, based on location, will be provided to help alleviate costs associated with the internship. 

• Ownership of challenging and impactful business-critical projects.

• Work with some of the most talented people in the biotechnology industry.

Who You Are

Required Education 

You meet one of the following criteria:

• Must have attained a Master's degree or

• Must be pursuing a PhD (enrolled student)

Required Majors

Machine learning, Artificial Intelligence, Bioinformatics, Computational biology or related fields

Required Skills

• Expertise in Generative AI and LLMs.

• Advanced programming skills in Python, with experience in frameworks such as LangGraph, LangChain, and Requests.

• Knowledge of computational and statistical methods used in biological data analysis.

• Passionate about developing scalable, efficient, and well-documented software.

• Excellent communication and teamwork skills.

Preferred Qualifications

• Familiarity with AI agents, RAG and fine-tuning methods (e.g., SFT, RLHF, RL with experimental feedback), prompt engineering, and LLM calibration techniques.

• Familiarity with R programming, Bioconductor, and computational biology pipelines.

• Familiarity with ML topics such as uncertainty quantification, conformal prediction, or offline RL.

• Publication record in top ML conferences (e.g., NeurIPS, ICML, ICLR).

• Knowledge of biological domains such as target discovery.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of  California is $50.00 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.