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Lead Research Engineer, Bioresilience, DeepMind
Google DeepMind · Posted 3 days ago
"Lead development of frontier GenAI tools for pathogen detection, crop resilience, and medical countermeasures within DeepMind's Bioresilience Program."
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
As a part of the Lead Research Engineer, you will join the Bioresilience Program (https://deepmind.google/blog/our-approach-to-bioresilience/) within DeepMind Impact Accelerator. You will lead development and deployment of applications leveraging frontier AI and generative models.
In this role, you will collaborate with Biosecurity, GenAI, and Alphabet partners like Google Research, Cloud, and Isomorphic Labs, build solutions for biological prevention, detection, and response. You will translate AI breakthroughs into practical tools for pathogen detection, crop resilience, and medical countermeasures.
Your role requires expertise in life sciences, computational biology, or biosecurity alongside strong software engineering leadership to build products with state-of-the-art GenAI.
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This posting is sourced from Google DeepMind's own career site — applying takes you there directly.
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There are 292 open roles at Google DeepMind right now. This role centers on Software Engineering, Life Sciences, Computational Biology, and Biosecurity.
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