Verily

About the Company

Verily is an Alphabet data platform and AI company purpose-built for precision health. We combine deep clinical, regulatory, and technological expertise to provide our customers with patient-centric solutions that make healthcare more personal and precise. Verily solutions are designed to make healthcare data AI-ready and fit for purpose across care, research, and public health. For more information about Verily please visit: verily.com.

Verily is hiring! Check out what's available globally at verily.com/careers.

Listed Jobs

Company Name

Verily

Job Title

Software Engineer, Data Platform

Job Description

San bruno, United states

On site

Junior

08-10-2025

Company Name

Verily

Job Title

Staff AI Researcher, Foundation Models

Job Description

**Job Title:** Staff AI Researcher, Foundation Models **Role Summary:** Lead the design, research, and implementation of large‑scale foundation models that integrate multimodal health data (EHR, clinical notes, genomics, wearables). Advance self‑supervised and multimodal learning techniques, translate research into robust, scalable models, and collaborate with clinical and product teams to deliver clinically relevant AI solutions. **Expactations:** - Demonstrate scientific creativity and proactive problem‑solving. - Communicate technical concepts clearly to both technical and non‑technical audiences. - Work collaboratively with clinicians, product managers, and engineers. - Stay abreast of state‑of‑the‑art AI/ML research and apply findings to biomedical contexts. - Contribute to an inclusive, high‑performing team environment. **Key Responsibilities:** - Design and develop foundation and self‑supervised learning models for complex, longitudinal health data. - Benchmark, evaluate, and validate new architectures and learning methods. - Translate research outcomes into production‑ready, scalable AI assets. - Define problem statements and data requirements with clinical and product stakeholders. - Document and present research findings internally and externally. - Participate in code reviews, Git‑based workflow management, and MLOps practices. **Required Skills:** - 5+ years experience with advanced deep learning, self‑supervised learning, and foundation models (including LLMs). - Strong Python programming; proficient with PyTorch, TensorFlow, and Hugging Face/Transformers. - Expertise in designing novel algorithms and adapting cutting‑edge research for practical use. - Solid understanding of large‑scale data pipelines and multimodal data integration. - Excellent written and verbal communication; collaborative mindset. - Familiarity with Git version control and modern MLOps practices (preferred). - Knowledge of medical vocabularies and standards such as ICD, CPT, SNOMED, FHIR, OMOP (preferred). **Required Education & Certifications:** - Advanced degree (Ph.D. or Master's) in Computer Science, Data Science, Biomedical Informatics, Statistics, Applied Mathematics, or a related quantitative field, or equivalent practical experience.

Boston, United states

Hybrid

Mid level

12-11-2025

Company Name

Verily

Job Title

Cloud Architect

Job Description

Job Title: Cloud Architect Role Summary: Design, build, and maintain scalable, secure, and cost‑effective infrastructure on Google Cloud Platform (GCP) using infrastructure‑as‑code (IaC) practices, primarily Terraform. Drive integration of GCP services with SaaS solutions, enforce security policies, and optimize performance and cost. Expectations: Deliver robust architecture designs, implement IaC solutions, lead SaaS integrations, enforce GCP security and compliance, monitor and optimize platform performance, and communicate architectural decisions to technical and non‑technical stakeholders. Key Responsibilities: - Architect and document secure, cost‑optimized GCP solutions (Compute Engine, GKE, Cloud Functions, Cloud SQL, BigQuery, Cloud Storage). - Develop, version, and maintain Terraform configurations for networking, security, compute, and data services. - Lead technical implementation of SaaS integrations (Salesforce, ServiceNow, monitoring tools) using APIs, OAuth, and service accounts. - Implement GCP security best practices: IAM, VPC, firewall rules, VPN, encryption, and compliance controls. - Monitor, analyze, and optimize performance, scalability, and cost efficiency of cloud platforms. - Collaborate with cross‑functional teams to align architecture with business objectives. Required Skills: - 8+ years of cloud infrastructure experience (networking, compute, data services, IAM). - Expert proficiency in Terraform (custom modules, state management, collaboration). - Strong knowledge of GCP services and architecture patterns. - Experience designing secure SaaS integrations (APIs, OAuth, service accounts). - Scripting skills (Python, Bash) for automation. - Familiarity with containerization (GKE, Docker, Cloud Run) and monitoring tools (Prometheus, Grafana, Cloud Logging/Monitoring). - Excellent written and verbal communication; ability to explain technical concepts to non‑technical stakeholders. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - GCP Professional Cloud Architect certification highly preferred. - Knowledge of AI/ML services (Vertex AI) and related concepts is a plus.

Dallas, United states

Hybrid

Senior

26-11-2025