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MLOps Research Engineer
Merge Labs
San Francisco, USA
Full-time
Senior
Onsite
USD 200000-235000 yearly / year
Discovered 1 weeks ago
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Role Overview
We’re hiring a Senior / Principal ML Engineer to build and own the digital infrastructure that supports Merge’s diverse computational workloads. You’ll design the distributed-training & inference, experiment-tracking, and deployment frameworks that enable data scientists to rapidly iterate on models — spanning de-novo molecular design, biophysical modeling, signal processing, and computer vision. You’ll architect systems that translate research prototypes to production grade. This is a horizontal, highly-leveraged role — success means empowering every computational scientist to move faster, with more rigor and less friction.
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About the team
Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this mission, we are building a cross-functional data and software engineering group which supports the intersection of computational modeling, neuroscience, and biomolecular engineering. This group collaborates extensively with wet-lab scientists, automation engineers, and data scientists to build digital infrastructure that accelerates molecular discovery and device optimization.
About the role
We’re hiring a Senior / Principal ML Engineer to build and own the digital infrastructure that supports Merge’s diverse computational workloads. You’ll design the distributed-training & inference, experiment-tracking, and deployment frameworks that enable data scientists to rapidly iterate on models — spanning de-novo molecular design, biophysical modeling, signal processing, and computer vision. You’ll architect systems that translate research prototypes to production grade. This is a horizontal, highly-leveraged role — success means empowering every computational scientist to move faster, with more rigor and less friction.
In this role, you will
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