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Member of Technical Staff - Research, Post-Training
Modal Labs · new york, new york, United States
$150k–350k
66 days ago
♡
Member of Technical Staff - Research, Inference
Modal Labs · new york, new york, United States
$150k–350k
66 days ago
♡
Member of Technical Staff - Product (Growth)
Modal Labs · new york, new york, United States
$150k–300k
114 days ago
♡
Infrastructure Security Engineer
Modal Labs · new york, new york, United States
$150k–270k
141 days ago
♡
Member of Technical Staff - ML Training Systems
Modal Labs · new york, new york, United States
$150k–350k
196 days ago
♡
Systems Engineering Manager
Modal Labs · new york, new york, United States
$275k–330k
218 days ago
♡
Member of Technical Staff - Product (Backend)
Modal Labs · new york, new york, United States
$150k–300k
243 days ago
♡
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Member of Technical Staff - Research, Post-Training
Modal Labs · new york, new york, United States
Pay
$150k–350k
Setting
On-site
Member of Technical Staff - Research, Post-Training
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff - Research, Inference
Modal Labs · new york, new york, United States
Pay
$150k–350k
Setting
On-site
Member of Technical Staff - Research, Inference
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff - Product (Growth)
Modal Labs · new york, new york, United States
Pay
$150k–300k
Setting
On-site
Member of Technical Staff - Product Engineer (Growth)
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Infrastructure Security Engineer
Modal Labs · new york, new york, United States
Pay
$150k–270k
Setting
On-site
Infrastructure Security Engineer
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff - ML Training Systems
Modal Labs · new york, new york, United States
Pay
$150k–350k
Setting
On-site
Member of Technical Staff - ML Training Systems
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Systems Engineering Manager
Modal Labs · new york, new york, United States
Pay
$275k–330k
Setting
On-site
Systems Engineering Manager
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff - Product (Backend)
Modal Labs · new york, new york, United States
Pay
$150k–300k
Setting
On-site
Member of Technical Staff - Product (Backend)
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Forward Deployed Engineer - Systems
Modal Labs · new york, new york, United States
Pay
$180k–240k
Setting
On-site
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 Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you'll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more — helping them design and ship production infrastructure on Modal's platform.
The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. You will:
- Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal
- Lead technical discovery and architecture sessions with prospective and existing customers
- Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
- Collaborate with Modal's product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proof-of-concepts that make Modal's infrastructure advantages tangible
REQUIREMENTS:
- 3+ years of professional software engineering experience
- Hands-on experience with cloud platforms (AWS, GCP, Azure) — compute, storage, networking, and container orchestration (Docker, Kubernetes)
- Familiarity with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- Strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership
- Genuine interest in working directly with customers — you find it energizing to understand someone else's problem and help them solve it
- Bonus: experience leading large-scale migration efforts, open-source contributions, or side projects you're proud of
- Willing to work in-person in New York City, San Francisco, or Stockholm
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Customer Engineer
Modal Labs · new york, new york, United States
Pay
$150k–220k
Setting
On-site
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 engineers with deep AI/ML and low-level systems experience who want to build the best technical support experience in the world. This isn't a traditional support role — it's an engineering role where you happen to be closest to our customers.
You'll split your time roughly 50/50 between working directly with customers and shipping fixes, features, and automation that improve Modal for everyone. When you help a customer debug a training run, you'll also fix the underlying issue in the platform. When you notice ten customers hitting the same friction point, you'll build the tooling or automation that eliminates it entirely.
This role is for people who solve problems, not people who answer tickets. The problems you encounter are deeply technical and arise from running some of the most demanding AI workloads in the world. You'll be a member of our engineering team, contributing production code alongside the engineers building the core platform. The difference is that your roadmap is shaped by what you learn at the frontier of customer experience. You will:
- Ship code that matters. Fix bugs, build features, and create automation that improves the experience for every Modal user — not just the one who reported the issue.
- Work directly with customers. Help developers and ML engineers debug, optimize, and architect their workloads across Slack, email, and calls.
- Build scalable systems. Design tooling, dashboards, and automated workflows that make support efficient at scale — delighting customers at the most important moments.
- Close the feedback loop. Translate patterns you see in the field into concrete improvements — docs fixes, API changes, or new feature proposals.
- Contribute to open source and technical content. Write examples, build demos, and publish content that helps the broader community succeed on Modal.
REQUIREMENTS:
- Accomplished in key areas. You bring depth in either low-level infrastructure or ML/AI, and you're not lost in the other.
- Low-level infrastructure experience. Operating systems, file systems, networking, performance profiling, cluster management and distributed systems.
- AI/ML engineering experience. Training models, optimizing inference, working with GPUs, or building ML infrastructure.
- Automation mindset. Your instinct when you see a manual process is to eliminate it and you have the engineering background to make that happen.
- Clear communicator. Can explain a systems issue to a customer, write a crisp bug report, and draft documentation, all while collaborating internally to ship improvements.
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Developer Relations Engineer
Modal Labs · San Francisco, California, USA
Pay
$175k–275k
Setting
On-site
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 , , 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 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,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role:
Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today.
In this role, you will primarily create and distribute technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also serve as a trusted resource for them when implementing new AI technologies.
In this role, you will:
Distill the latest advancements in AI technology and educate developers on how to incorporate them.
Give demos/talks about Modal and adjacent tools at developer events.
Engage with users in our community, both online (X, LinkedInReddit, Slack) and at in-person events.
Build relationships, integrations, and joint marketing activities with other developer-focused companies
Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on.
Requirements:
We are looking for someone who:
3+ years as a software engineer
Is energized by the AI developer community and wants to help developers adopt new technologies.
Loves teaching.
Has excellent technical communication skills.
Is metrics-driven and takes quantitative approaches to prioritizing initiatives.
Is excited about working in-person in the NYC, SF or Stockholm office.
Bonus: you're not afraid to think outside the box when it comes to compelling technical content.
Bonus: you already have a developer following on social media!
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
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