Research Engineer, Lab Automation

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

101% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Deadline

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About this role

Research Engineer, Lab Automation Menlo Park, California, United States The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. We're building an autonomous lab to speed up materials discovery, and we need someone who loves making instruments, robots, and data systems play beautifully together. As our Automation Engineer, you'll turn scientific workflows into working software and integrations by designing clear data models, connecting instruments and automation to our lab information systems, and making sure everything runs in sync, safely, and reliably. What You'll Do - Collaborate with bench scientists to translate experiments and lab workflows into clear integration specs and data models. - Work with integrators to design and build automated workcells for materials R&D. - Build and maintain services that connect instruments and robots to lab information systems. - Develop instrument drivers that automate lab workflows by generating command sequences and invoking vendor API/SDK methods. - Collaborate with AI and data scientists to tightly integrate the autonomous lab with AI models

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