Software Engineer, Debug

• Company Verily
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day.

Our team combines expertise in healthcare, data science and technology to improve the health and well-being of our communities. We are developing the infrastructure and solutions to harness the profusion of health information for good. Our data-driven solutions span three primary areas: research, care and innovation. Programs include Project Baseline - our research initiative to increase participation and evidence generation in clinical research; Onduo - our personalized virtual care platform, which includes connected tools, lifestyle coaching and clinical support; and Debug - our effort to reduce the threat of mosquito-borne diseases by combining machine learning with sterile insect technique. We’re also actively working to combat the spread of COVID-19 through new programs like Healthy at Work.

Description

Nearly 10% of the human population is infected with a mosquito borne-disease each year, resulting in massive mortality and enormous economic loss. We are combining modern molecular biology with robotic automation to generate millions of sterile male mosquitoes that will be released into the wild to mate with females, causing a population crash that will ultimately break disease transmission cycles.

The Debug Project is looking to ramp up and expand our mosquito production systems, release, and monitoring both domestically and internationally. To drive this initiative, Debug is looking to hire a Software Engineer to help build software to orchestrate, facilitate, and analyze these operations.

Responsibilities

• Design, develop, test, deploy, maintain and improve software.
• Manage individual project priorities, deadlines and deliverables.
• Collaborate with cross-functional teams (hardware, science, etc) to determine requirements and manage priorities.
• Design and evaluate new approaches to streamline operations.

Qualifications

Minimum qualifications:

• BS degree in Computer Science, Computer Engineering or related technical field or equivalent practical experience.
• Demonstrated ability to apply problem-solving skills to complex issues.
• Demonstrated interest in and ability to learn other programming languages as needed.
• Fluency in one or more general purpose programming languages, including but not limited to: Java, JavaScript, C/C++, C#, Python, Go, Objective-C, Rust or Swift.
• Experience with computer vision, machine learning, data pipelines and/or data science.
• Experience with probabilistic modeling.

Preferred Qualifications

• Experience with deployment technologies: Docker, Kubernetes, Google Cloud Platform or other cloud providers.
• Experience with the following programming languages: JavaScript, TypeScript, Python or Go.
• Experience developing full-stack products.