Staff AI Researcher (AI)

TL;DR

Staff AI Researcher (AI): Building and optimizing next-generation AI foundation models for human health data with an accent on integrating diverse, large-scale multimodal health data. Focus on designing novel deep learning architectures, conducting applied research in self-supervised and multimodal learning, and ensuring models are reliable, interpretable, and adaptable for clinical and research applications.

Location: Hybrid role based in the United States, with offices in Mountain View, California; Boston, Massachusetts; and San Bruno, California.

Salary: $162,000 - $277,000 USD (base salary).

Company

hirify.global, a subsidiary of Alphabet, focuses on using data-driven approaches to revolutionize health management and healthcare delivery through precision health.

What you will do

• Design and develop large-scale foundation models and self-supervised learning algorithms to integrate complex, multimodal health data.
• Proactively explore, benchmark, and validate new modeling architectures and learning techniques for longitudinal health data.
• Communicate complex technical concepts and results clearly to technical and non-technical audiences.
• Partner closely with clinical experts, product managers, and stakeholders to define problems and ensure clinically relevant solutions.
• Stay current with advancements in AI/ML research, especially in foundation models, LLMs, and multimodal learning within health contexts.
• Contribute to an inclusive, collaborative team environment, valuing diverse perspectives in an exploratory setting.

Requirements

• Advanced degree in a quantitative discipline (e.g., data science, computer science, biomedical informatics, statistics, applied mathematics), or equivalent practical experience.
• 5+ years of experience developing and applying advanced deep learning, self-supervised learning, and foundation models (including LLMs) to complex, large-scale data (e.g., clinical, biomedical, genomic, or time-series data).
• Strong proficiency in Python and experience with modern deep learning frameworks (e.g., PyTorch, Huggingface/Transformers, TensorFlow) and Git-based workflows.
• Demonstrated ability to design and implement novel algorithms or adapt cutting-edge research methods for practical applications.
• Excellent written and verbal communication skills, with a proactive, collaborative approach to problem-solving and navigating ambiguity.
• This role is eligible for hirify.global-sponsored immigration support.

Nice to have

• Familiarity with medical terminologies and standards (e.g., ICD, CPT, SNOMED, FHIR, OHDSI/OMOP).
• Experience collaborating with clinical professionals, bioinformaticists, or other health domain experts.
• Exposure to MLOps and software engineering best practices for building and deploying large-scale models.
• A strong sense of curiosity, adaptability, and self-initiative, with a demonstrated ability to learn new domains and navigate ambiguous research challenges quickly.

Culture & Benefits

• Offers flexibility, resources, and competitive benefits to support whole-person well-being.
• Culture reflects values of innovating healthcare and technology, gaining velocity as one hirify.global, and respecting individuals.
• Committed to creating a culture of inclusion, belonging, and equitability where all employees feel valued.