other
Posted Aug 22, 2025Member of Technical Staff - Python SDK
at Modal
New York, United StatesOn-site
Requirements
- ABOUT US: AI needs a new infrastructure layer.
- AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
- They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
- 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.
- 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 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
Experience
- REQUIREMENTS: - 5+ years of
Benefits
- We've crossed $300M+ ARR and grown fivefold since September.
Contact
- Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno.
- We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
- 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.
Additional details
- Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud.
- Each time, the company that rebuilt the layer underneath defined the decade.
- - A strong product sense that manifests as a focus on developer ergonomics and productivity.