Staff AI Researcher, Foundation Models at Verily

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Technology, AIIndustries

Requirements

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 Qualifications
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 MLO

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

Skills

Deep Learning

Foundation Models

Self-Supervised Learning

Multimodal Learning

LLMs

EHR

Genomics

Wearable Data

Machine Learning

AI Research

Python

PyTorch

Verily

Comprehensive healthcare platform

About Verily

Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. Verily is focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward.

N/AHeadquarters

2015Year Founded

N/ACompany Stage

1,001-5,000Employees