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Research Engineer, Bioresilience, DeepMind

Google DeepMind · Posted 3 days ago

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Software EngineeringGenerative AIMachine LearningComputational BiologyPrototypingBenchmarkingNatural Language ProcessingData Mining

Build and deploy GenAI-powered tools that help detect and respond to biological threats, translating frontier DeepMind research into scalable products for communities worldwide.

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 Research Engineer to join the Bioresilience Initiative (https://deepmind.google/blog/our-approach-to-bioresilience/) within the DeepMind Impact Accelerator team. In this role, you will build and deploy novel applications leveraging Google’s frontier AI and generative models.

As a part of the team, you will accelerate DeepMind’s societal impact on critical global challenges, collaborate with Biosecurity, GenAI, and Alphabet partners like Google Research, Cloud, and Isomorphic Labs, will develop solutions across biological threat prevention, early pathogen detection, and rapid response. You will translate cutting-edge AI breakthroughs into scalable tools that protect communities worldwide.

Your position requires domain expertise in life sciences, computational biology, or biosecurity alongside solid software engineering skills to prototype, benchmark, and scale products using state-of-the-art GenAI tools.

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This role centers on Software Engineering, Life Sciences, Computational Biology, and Biosecurity. There are 292 open roles at Google DeepMind right now.

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