AI/ML Job: Machine Learning Software Engineer, Medical Imaging Productionization

Verily

Machine Learning Software Engineer, Medical Imaging Productionization at Verily

๐Ÿ‡บ๐Ÿ‡ธ United States โ€บ California โ€บ San Francisco
  (Posted Jan 11 2022)

Job description
Verily, an Alphabet company, lives at the intersection of technology, data science and healthcare. Our mission is to make the worldโ€™s health data useful so that people enjoy longer and healthier lives.

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. Weโ€™re also actively working to combat the spread of COVID-19 through new programs like Healthy at Work.

Description
Our team is part of the larger Pathology efforts at Alphabet, and we combine the latest in machine learning (ML) research with life sciences domain expertise and Googleโ€™s infrastructure to create innovative solutions and bring them to the world. The candidate would be working in collaboration with Google and Verily's research, software engineering, science, clinical, regulatory, and quality teams, and would help develop and productionize models and tools for disease diagnosis and treatment determination.

Responsibilities
Be part of the product teams translating advanced ML research into innovative digital health and global regulated Software as a Medical Device (SaMD) products.
Work as an independent ML software engineer through the entire cycle of SaMD productionisation under regulatory and quality management processes.
Collaborate and communicate with a dynamic cross org group of various stakeholders, including machine learning scientists, software engineers, quality engineers, regulatory specialists, clinicians, pathologists, and external partners.
Actively participate in scoping requirements, ML software system design and development, ML model development, evaluation, and validation.

Qualifications
Minimum qualifications:
BA/BS degree in Computer Science, Electrical Engineering, or equivalent practical experience in software engineering.
3+ years of machine learning experience, familiarity with machine learning model development lifecycle, including study design, data collection and annotation, model development, model validation, and rigorous statistical analysis.
Experience with programming and scientific computation using Python and Tensorflow/PyTorch.

Preferred qualifications:
Passion in delivering real-world impact in the space of healthcare and technology and a rigorous scientific mindset.
Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems.
PhD degree in machine learning, bioinformatics, statistics, applied mathematics or related disciplines, or masters degree in similar fields with 3+ years of industry experience.
Prior experience with cloud development and deployment technologies such as: Docker, Kubernetes, and Cloud Platforms.
Publications in premiere, peer-reviewed machine learning, scientific, or clinical venues.


 

Company: Verily

Verily
job info / career page
Linkedin profile
Location: San Francisco, California, United States

map of company location

Skills wanted for this job:
docker kubernetes ml python pytorch
tensorflow

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