Who We Are
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Description
Verily’s internship is a paid 13 week program for rising seniors, either undergraduate or graduate students, who are interested in working at the intersection of technology, data science and healthcare. The program is designed for all students, and again this year we encourage students who have been historically underrepresented in this field to explore the program, which is a pathway towards full-time employment within Verily. This includes but is not limited to: Black/African-American, Latinx/Hispanic, Native American, students with disabilities, veterans, and non-binary people.
As a Data Scientist Evaluation Intern, you will be supporting our core mission to drive innovation for research and care decisions. You will develop and carry out evaluation strategies to assess AI models for performance, safety, and responsible AI principles. You will work with a diverse cross-functional team to build reusable and scalable evaluation frameworks. Evaluation frameworks could be applied across the Verily portfolio for products such as Verily Numetric Retinal Service and Digital Biomarkers, Verily Lightpath and Verily Viewpoint.
**Join us for a unique 13 week internship that will take place May 16th to August 9th 2025 OR June 16th to September 12th 2025.**
Responsibilities
- Work closely with cross-functional partners to design and create reusable and scalable evaluation frameworks.
- Develop AI/ML evaluation strategies for performance, safety, and responsible AI principles.
- Research metrics and evaluation strategies from technical publications, standards, and compliance guidelines.
- Communicate technical methods and results clearly in well structured reports and presentations to a range of technical and non-technical audiences.
Qualifications
Minimum Qualifications
- Advanced degree in a quantitative discipline (e.g., data sciences, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience.
- Deep understanding of AI and ML evaluation metrics, common pitfalls, and responsible AI principles.
- Experience developing evaluation frameworks for genAI models, AI agents, or LLM-based models.
- Ability to research and read technical publications, standards, and compliance guidelines
- Experience with model and data card documentation practices.
Preferred Qualifications
- Ability to work cross-functionally on teams, with a tolerance for ambiguity.
- Experience with developing products in regulated environments.
- Familiarity with software engineering practices and experience developing production software.
The US hourly range for this internship position is $45.67 - $53.85 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
