2026 Summer Intern - DDC
About The Position
2026 Summer Intern - DDC Department Summary We are the AI Enablement team within the Computational Sciences Center of Excellence. We develop various AI tools that empower our scientists and accelerate drug discovery. We work with LLMs, Agents, foundational models, embeddings and large volumes of scientific data. This internship position is located in South San-Francisco or it can be fully remote. The Opportunity Build large scale training repository for foundational models Extend the DINO/CLIP training to use multimodal data Write evaluation scripts on various internal benchmark datasets Present and publish your work to at ML Conferences Program Highlights Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start dates are in May/June (Summer) 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 We Are Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours. To apply today, click on the "Apply for this job" button. 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.
Requirements
- Must be pursuing a Master's Degree (enrolled student).
- Must have attained a Master's Degree.
- Must be pursuing a PhD (enrolled student).
- Must have attained a PhD.
- Required Majors Computer Science
- Python programming with familiarity of PyTorch and Transformers library.
- Understanding of Machine Learning and basics of Deep Learning
- Model training, fine-tuning (LoRA), and hyper-parameter tunning
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.
- Ability to write technical report / research paper
Responsibilities
- Build large scale training repository for foundational models
- Extend the DINO/CLIP training to use multimodal data
- Write evaluation scripts on various internal benchmark datasets
- Present and publish your work to at ML Conferences
Benefits
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
