Software Engineer III, ML Infra

Verily • Mountain View, CA

12d

About The Position

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.

Requirements

• Bachelor's degree in Computer Science or a related field.
• 3+ years of experience in SW, cloud engineering or ML engineering with a BS degree (2+ years of experience with an MS degree).
• Proficiency in at least one major programming language (e.g., Python, Java, Go).
• Proven track record of delivering high-impact, production-quality software in the cloud.
• Experience with ML tools and platforms such as notebooks, VertexAI.
• Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

Nice To Haves

• Experience with CI/CD and Infrastructure tools like Terraform, GitHub.
• Proficiency in Go or Python.
• Experience in building model training and deployment environments in the cloud.

Responsibilities

• Design, and develop high-quality AI/ML software solutions to meet project requirements, ensuring scalability and performance.
• Collaborate with cross-functional teams and technical leads to define and refine technical specifications, taking ownership of design oversight, scoping and project deliverables.
• Mentor and coach junior engineers, fostering a culture of learning and continuous improvement within the subteam.
• Participate in code reviews to maintain code quality and uphold best practices, promoting a culture of excellence.
• Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees