ML Software Engineer, Debug

Key Skills

Analytical and Problem solving, C Programming, C++, Debugging, Docker, Google Cloud Platform (GCP), Java Programming, JavaScript, Kubernetes-K8s, Machine learning techniques, Python Programming, Rust, Software Development, TypeScript

Job Description

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.

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 Machine Learning 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.
• 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, data science, and/or probabilistic modeling.
• Combine and analyze data from operations to root-cause issues and monitor performance.

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. 

Why Join Us

Build What’s Vital.

At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps (what we call our employees), which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. We believe diversity of thought drives innovation—we unite the brightest minds, and encourage all Veeps to bring their lived experience to work with them.