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Member of Technical Staff - Python SDK

Modal

Ashby
OnsiteNew York8 months ago
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Job Description

ABOUT US: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B https://modal.com/blog/announcing-our-series-b at a $1.1B valuation. Our investors include Lux Capital https://www.luxcapital.com/, Redpoint Ventures https://www.redpoint.com/, Amplify Partners https://www.amplifypartners.com/, and Elad Gil https://eladgil.com/. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity. REQUIREMENTS: - 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software. - Knowledge of advanced Python features, especially async programming. - A strong product sense that manifests as a focus on developer ergonomics and productivity. - A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. - Ability to participate in on-call rotation and respond to production incidents. - Ability to work in-person in our NYC or Stockholm office. - Any of the following would be a plus: - Familiarity with modern data / ML / AI tools and workflows - Experience with Typescript, Go, or Rust