Verily · 1 month ago
Staff AI Researcher, Foundation Models
Verily is a subsidiary of Alphabet focused on changing healthcare through a data-driven approach. The Staff AI Researcher will develop foundational models that integrate diverse health data to unlock insights and drive clinical applications.
AnalyticsEnterprise SoftwareHealth CareInformation Technology
Responsibilities
Design and develop large-scale foundation models and self-supervised learning algorithms to integrate and learn from complex, multimodal health data (e.g., structured EHR, unstructured text, genomics, wearables)
Proactively explore, benchmark, and validate new modeling architectures and learning techniques for complex, longitudinal health data
Communicate complex technical concepts and results clearly, adapting style and depth for both technical and non-technical audiences. Partner closely with clinical experts, product managers, and stakeholders to define problems, identify data needs, and ensure solutions are clinically relevant
Stay current with advancements in AI/ML research (especially in foundation models, LLMs, and multimodal learning) and identify opportunities to apply them within biomedical and health contexts
Contribute to an inclusive, collaborative team environment where diverse perspectives are valued and leveraged, especially in a new and exploratory team setting
Qualification
Required
Advanced degree in a quantitative discipline (e.g., data science, computer science, biomedical informatics, statistics, applied mathematics, or similar), 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
Preferred
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
Benefits
Bonus
Equity
Benefits
Company
Verily
Verily is an Alphabet health tech company focused on research, care, and health financing to deliver on the promise of precision health. It is a sub-organization of Alphabet.
H1B Sponsorship
Verily has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (39)
2024 (83)
2023 (69)
2022 (115)
2021 (88)
2020 (58)
Funding
Current Stage
Late StageTotal Funding
$3.51BKey Investors
Michael J. Fox FoundationSwiss Re Corporate SolutionsSilver Lake
2025-04-30Grant· $14.7M
2022-09-29Secondary Market
2022-09-09Corporate Round· $1B
Recent News
2025-12-15
Dallas Innovates
2025-12-12
Company data provided by crunchbase