Software Engineer III, ML Infra at Verily

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

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
Preferred Qualifications
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

Skills

Machine Learning

Computer Vision

LLMs

ML Pipelines

EHR

ePROs

Digital Biomarkers

Cloud Computing

Data Analytics

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