We are hiring a Platform Solutions Engineer who will serve as the technical bridge between Mithrl’s platform and our customers. This role requires a rare combination of skills. You must be able to architect solutions for complex customer environments, manage and run the cloud infrastructure powering the Mithrl platform, and also own DevOps responsibilities that ensure secure, scalable and reliable deployments.
You will design and implement integrations, advise customers on best practices for using Mithrl within their R&D workflows, and collaborate with internal teams to ensure smooth onboarding and deployment. At the same time, you will build and maintain the cloud infrastructure, CI systems, monitoring, and automation that keep Mithrl running at scale.
If you enjoy combining customer facing problem solving with deep engineering and DevOps work, this role provides a unique opportunity to shape the technical foundation of Mithrl as we grow.
Our process is designed to give you a real feel for working at Mithrl, and to give us the same for working with you:
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.
Mithrl is building the Scientific Decision Engine for enterprise R&D. Powered by Mithrl-1, a biomedical world model grounded in validated biology, it turns raw reads into defensible, auditable decisions, accelerating R&D cycles by 32X on average. By combining experimental data with Mithrl’s knowledge graphs, it identifies novel drug targets, uncovers clinically meaningful biomarkers, decodes mechanism of action, and interprets results in the context of pathways, known biology, and published literature.
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Pay not posted
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$190K–$265K / yr
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