TL;DR

Data Scientist - AI Agent (AI): Building and deploying sophisticated AI models and agents for healthcare products, using cutting-edge techniques to analyze complex datasets and unlock information from clinical data. Focus on architecting and implementing foundational models and LLM-based agents, conducting research on emerging advancements in LLMs and medical foundational models, and collaborating cross-functional teams to deliver solutions.

Location: Hybrid in San Bruno, US. This role is eligible for %hirify_global%-sponsored immigration support within the US.

Salary: $140,000–$200,000 USD + bonus + benefits

Company

%hirify_global%, a subsidiary of Alphabet, uses a data-driven approach to change how people manage their health and how healthcare is delivered.

What you will do

Collaborate with cross-functional teams to conceptualize, develop, and implement AI solutions tailored to diverse healthcare applications.
Architect and implement foundational models and large language model (LLM) based agents for optimal performance and efficiency.
Conduct cutting-edge research and stay informed on emerging advancements in LLMs, medical foundational models, and AI agents.
Effectively communicate complex technical methodologies and results through clear reports and presentations.

Requirements

Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics) or equivalent practical experience.
Experience with applying ML in digital health applications.
Direct experience working with LLM and familiarity with various prompt optimization technologies.

Nice to have

Ph.D. in Computer Science or Engineering.
Experience with LLM models, including prompting, fine-tuning, and retrieval augmented generation (RAG).
Familiarity with software engineering principles and experience deploying algorithms in production environments.
Experience developing transformer-based deep learning algorithms using TensorFlow or PyTorch.

Culture & Benefits

Be part of a diverse team innovating at the intersection of health and technology.
Receive flexibility, resources, and competitive benefits to support whole-person well-being.
Contribute to a culture of Inclusion, Belonging, and Equitability (VIBE).