Scaling and deploying machine learning models for RNA design
March 11
🏢 In-office - Bay Area
Description
• Be part of a team that develops and scales a foundation model applied to RNA, DNA, and proteins on public and in-house data • Design and build the infrastructure and tooling required to support large-scale training, rapid prototyping, and deployment of machine learning models and related systems • Embody a vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise • Collaborate with team members from diverse backgrounds to build innovative and scalable experiments to solve complex problems that span biology and computation
Requirements
• Demonstrated experience designing and building scalable machine learning systems and tooling to enable a short path from rapid prototyping to reliable deployment • Proficiency in software design, including the ability to identify appropriate abstractions and strike a balance between extensibility and development complexity • Experience scaling infrastructure at hyper-growth startup or fast-growing team • Extensive experience deploying and maintaining automation (e.g., CI, cron, ...), dev environment (e.g., Docker, Kubernetes, GCP), and databases (e.g., Postgres, BigQuery, ...) for a team of contributors • Problem-solver who is equally excited by finding creative solutions to complex problems, as you are by executing on them • Ability to communicate technical and scientific concepts to team members from a broad variety of backgrounds • Ability to understand the big picture, while driving projects on the ground from beginning to end • Deep knowledge in your traditional area of expertise with a strong eagerness to connect to and apply your skills in other areas • Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET • Readiness to travel several times a year for company retreats and business events
Benefits
• Competitive compensation package • 30 days paid vacation per year • Comprehensive health insurance and 401K with company match (US) or comparable benefits if based in other countries • Quarterly company-wide retreats • Budget for multiple visits per year to our offices in Berlin and/or in Palo Alto • Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX • A buddy to help you get settled
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