Modal
The role involves creating the software layer for a non‑invasive neural interface, building full‑stack applications, backend APIs, data interfaces, and real‑time pipelines that connect devices, neural data, and AI models. The engineer will work closely with ML engineers, neuroscientists, and product teams to ship end‑to‑end features and ensure system reliability, performance, and security.
Modal is a cutting-edge serverless platform designed for AI and data teams, enabling users to run CPU, GPU, and data-intensive compute tasks at scale. It offers seamless developer experiences with features like sub-second cold starts, instant autoscaling, and the flexibility to bring your own code for various machine learning tasks. With a recent funding boost, Modal is positioned to enhance its infrastructure capabilities for businesses focused on innovative AI solutions. The platform is tailored for developers seeking high-performance computing with minimal setup complexity.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Modal.
Modal didn’t post a salary, so this is our estimate from similar listings.
34% below the average for this role
Modal Labs Targets $2.5 Billion Valuation for AI Inference Work
1 month ago