Back to search
Data & AnalyticsOn-site

Member of Technical Staff - Python SDK

Modal · On-site

Apply
Last seen by MeritLog September 8, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Modal's Ashby job board and last checked it on September 8, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$150K - $350K
Location
New York
Company website
modal.com

Hiring context

How this role compares at Modal

Modal has 30 live roles in MeritLog’s catalog across 6 job families, and 7 of them are in data & analytics. 28 of those listings publish a pay range, a disclosure rate of 93%.

This role's posted range of $150K - $350K sits above 65% of the 26 other Modal roles quoted over the same currency and period.

Modal concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What they're asking for

  • 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.ExperiencePreferred
  • Knowledge of advanced Python features, especially async programming.Skill
  • A strong product sense that manifests as a focus on developer ergonomics and productivity.Skill
  • A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.Skill
  • Ability to participate in on-call rotation and respond to production incidents.Skill
  • Ability to work in-person in our NYC or Stockholm office.Skill
  • Any of the following would be a plus:SkillPreferred
  • Familiarity with modern data / ML / AI tools and workflowsSkill
  • Experience with Typescript, Go, or RustSkill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. 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. 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. 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. 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. 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. We've crossed $300M+ ARR and grown fivefold since September. 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

Keep exploring

More Data & Analytics roles

Search all jobs

Privacy choices

Analytics and advertising stay off unless you allow them. Private data stays out.

Read the privacy notice