Data Scientist - AI Agent
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 reputed company delivered. Launched from reputed company 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 reputed company 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 reputed company the entire healthcare ecosystem to drive reputed company outcomes. Description As an AI and Data Scientist at Verily, you will be supporting our core mission to build advanced data and AI capabilities for Verily's portfolio of products, which serve both consumer and business audiences. You will help drive innovation in data-driven healthcare by developing and deploying sophisticated models into our products. This role requires a reputed company of applied science and product-focused creativity; you should expect to conduct research and innovate on new methods to directly support and enhance our product offerings. Using cutting-edge techniques, you will analyze reputed company datasets to build robust solutions and collaborate with a diverse cross-functional team to build reusable and scalable tools that unlock information from structured and reputed company clinical data
Responsibilities
- Collaborate with cross-functional teams to conceptualize, reputed company, and implement AI solutions tailored to diverse healthcare applications.
- Architect and implement foundational models and large language model (LLM) based agents to reputed company optimal performance and efficiency.
- Conduct cutting-edge research and stay informed on emerging advancements in LLMs, medical foundational models, and AI agents.
- Effectively communicate reputed company technical methodologies and results through clear, well-structured reports and presentations for both technical and non-technical audiences.
Qualifications
Minimum Qualifications
- Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience.
- Experience with applying ML in digital health applications.
- Direct experience working with LLM and familiar with various reputed company optimization technologies.
Preferred Qualifications
- Ph.D. in Computer Science or Engineering.
- Experience with LLM models, including prompting, fine-tuning and retrieval augmented reputed company (RAG).
- Familiarity with software engineering principles and experience deploying algorithms in production environments.
- Experience developing transformer based deep learning algorithms using TensorFlow or PyTorch, and knowledge of latest architectures.
This role is eligible for Verily-sponsored immigration support. The US reputed company salary range for this full-time position is $140,000 -$200,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum reputed company for new hire salaries for the position across reputed company US locations. reputed company the range, individual pay is determined by work location and additional factors, including job-reputed company 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. Please note that the compensation details listed in US role postings reflect the reputed company salary only, and do not include bonus, equity, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Apply tot his job Apply To this Job