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NYC AI careers guide · Roles refreshed August 13, 2026

Modal careers: 30 open roles right now

The serverless GPU cloud quadrupled to a $4.65B valuation in eight months — and careers searches for it grew 665% in a year, the fastest of any NYC AI company we track. 21 of the current openings are in New York. Roles below are pulled daily from Modal’s own job board; every link goes to their application page, not ours.

What you’d be joining

Modal makes GPUs feel like serverless functions: AI teams deploy training and inference workloads in seconds without managing clusters, which is why it became infrastructure of choice for a generation of AI startups. The trajectory is the story — a $1.1B valuation in September 2025 became $4.65B by May 2026, when General Catalyst and Redpoint led a $355M Series C.

This is systems engineering close to the metal: schedulers, container runtimes, GPU utilization, storage, and the developer experience that hides all of it behind a Python decorator. Founded by Erik Bernhardsson — who built Spotify’s early ML infrastructure and the open-source tools Luigi and Annoy — it runs engineering hubs in New York, San Francisco, and Stockholm.

Headquarters: 233 Spring St, Hudson Square — see it on the NYC AI map. Founded 2021; 120+ people across New York, San Francisco, and Stockholm as of May 2026; valuation $4.65B as of May 2026 (General Catalyst/Redpoint Series C).

Open roles at Modal

Fetched August 13, 2026 from Modal’s public job board — engineering and New York roles ranked first.

What it pays

Modaldoesn’t publish salary bands for most roles, so calibrate against the market it hires in: US AI and ML engineers run roughly $150k–220k base at mid-level and $220k–300k senior, and New York offers typically land 15–25% above those national bands — before equity, which at a company of Modal’s stage is a real part of the conversation. Infrastructure companies at Modal’s stage compete directly with big-tech systems teams for talent, so senior systems roles often price above the standard AI-engineer bands.

Full breakdowns by role and seniority: the AI engineer salary guide and the NYC-specific numbers.

How to stand out

We vet AI engineers for a living, and companies hiring at Modal’s level screen for the same signals we do: production ownership (a system running today, and what broke first), evaluation discipline (how you knew it worked before users did), and cost awareness (what it cost to run, and what you did about it). Polished side-projects lose to one honest production story every time.

Modal’s founder built beloved open-source tools, and the company’s product is developer experience — public systems work (an OSS contribution, a performance write-up, a scheduler war story with numbers) is worth more here than almost anywhere. Know your GPU-utilization math cold.

Full preparation guide: the AI engineer interview questions companies actually ask.

Or let companies come to you

Modal is one of a hundred NYC AI companies competing for the same engineers. Join our vetted network and get matched with scoped contract work and placements across the ecosystem — including roles that never hit a public board.

Join the NetworkSee All 100 Companies

Frequently asked questions

What roles is Modal hiring for?+

Mostly deep systems and product engineering — schedulers, runtimes, GPU infrastructure, storage, and developer tooling — plus go-to-market roles as it scales past the $4.65B Series C. The live list above pulls from Modal’s own board daily; engineering hubs are New York, San Francisco, and Stockholm.

What does Modal pay engineers?+

No public bands. Market context: US AI/ML engineers run $150k–220k mid-level and $220k–300k senior base with NYC 15–25% above — and serverless-infrastructure companies at this stage typically price senior systems engineers above those bands because they compete with big-tech infra teams for the same people.

Is Modal a good place for AI engineers?+

It depends which kind: Modal builds the infrastructure AI teams run on, so the work is distributed systems, performance, and developer experience rather than model development. For engineers who love making computers fast and APIs delightful, it is one of the strongest brands in the ecosystem — and its 665% year-over-year growth in careers searches suggests the market agrees.

Who founded Modal?+

Erik Bernhardsson, previously at Spotify where he built early ML infrastructure including the open-source workflow tool Luigi and the vector-search library Annoy. That open-source DNA shows in the product and in what the company values in candidates.

Neuronify is not affiliated with Modal. Role data comes from Modal’s public job-board API and refreshes roughly daily; apply through their official pages linked above. Company figures are sourced and dated in our NYC AI 100 research.

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