23andMe, headquartered in Sunnyvale, CA, is a leading consumer genetics and research company$1. .$1
genetic research • consumer genetics • direct-to-consumer genetic testing
July 30
🏢 In-office - Bay Area
23andMe, headquartered in Sunnyvale, CA, is a leading consumer genetics and research company$1. .$1
genetic research • consumer genetics • direct-to-consumer genetic testing
• Direct multiple teams of senior engineers with responsibility over production-critical services • Leverage modern AI/ML technologies like transformer networks to solve sequence-based biological puzzles • Build the world’s best performing predictive models by training them on the world’s largest genotype-phenotype database • Collaborate with data scientists and researchers to build internal infrastructure and services, improving their productivity through self-serve tooling and direct support • Coordinate with product managers on requirements, scope, and timelines for development • Define success metrics, key results, and inspire your team to go beyond code and solve business-critical problems
• Minimum of 8 years of experience in an engineering role, at least 4 of which are in a management role • BS or MS in Computer Science or related technical field • A strong philosophy of iterative development, seeking feedback from stakeholders, resisting upfront over-engineering or scope creep, and a willingness to change direction • Experience with building and maintaining critical production systems with uptime requirements, on call rotations, and emergency response • Experience collaborating with scientists and researchers and a passion for enabling and accelerating their work • Familiarity with state of the art machine learning infrastructure-as-a-service such as AWS Sagemaker and/or pipeline tools such as MLFlow and MetaFlow • Proficiency with Python and related scientific libraries (numba, pandas, pytorch) • Exceptional, multidisciplinary communication skills and a strong curiosity to learn about complex biological topics; we are solving some of the hardest problems in science, today
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