About the position
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. The Verily precision health platform is the comprehensive and patient-centered engine that accelerates the evidence generation needed for safer, more effective treatments and care decisions, helping people live longer, healthier lives. Our cloud-first approach, advanced analytics and AI expertise enable us to collect, organize, enrich and activate petabytes of data aligned with our customers' unique needs and delivered at just the right time. As a member of the Precision Health Platform engineering organization, you will build modular, composable, and interoperable platform components including development and maintenance of software for ML applications (data science, computer vision and LLMs). Our team is responsible for integrating and combining data from a variety of sources (e.g. EHR, ePROs, Digital Biomarkers, devices), building ML pipelines in order to provide curated data sets with ML insights that can contribute to clinical and research goals. In addition to research we are building AI tools for our care products to improve patient experience. Be at the forefront of innovation and tackle exciting challenges within a collaborative and dynamic work environment.
Responsibilities
- Architect, design, and develop robust, scalable, and high-performance AI/ML software solutions to solve key business challenges.
- Lead technical design and scoping by partnering with cross-functional teams to define project specifications, oversee architecture, and own project deliverables.
- Drive code quality and uphold software engineering best practices through rigorous code reviews and constructive feedback.
- Mentor and guide junior engineers, fostering a culture of technical excellence and continuous improvement within the team.
- Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems.
Requirements
- Bachelor's degree in Computer Science or a related field.
- 5+ years of experience in software, cloud, or ML engineering with a BS degree (or 3+ years with an MS degree).
- Proven track record of building and deploying production-quality software in a cloud environment.
- Experience with the ML model lifecycle, including using tools to ship models to production on cloud platforms (GCP and Vertex AI are a plus).
- Strong understanding of modern AI/ML practices and proficiency in at least one language like Python, Java, or Go.
Nice-to-haves
- Experience with modern CI/CD practices and infrastructure-as-code tools (e.g., Terraform, GitHub).
- Advanced proficiency in Go or Python.
- Demonstrated experience architecting and building the underlying cloud environments for model training and deployment.
Benefits
- Flexibility, resources, and competitive benefits to support whole-person well being.
