Company facts
- Founded
- 2021
- Employees
- 118
- Headquarters
- United States
- Type
- Private
Open positions
Member of Technical Staff - Inference Runtime
Systems engineer on Modal's Inference Runtime team building and optimizing the container runtime stack used to run ML inference and training workloads — working deep in Linux, containers, filesystems, GPU drivers, and distributed systems, with production code in Rust and Go.
Member of Technical Staff - Machines
Engineer the machines layer of Modal's serverless AI cloud: automate provisioning, imaging, monitoring, and repair of a global fleet of bare-metal and cloud hosts (GPUs, RDMA, networking, storage) so it stays healthy without humans. Heavy Linux internals, cloud, and cross-layer debugging work.
Member of Technical Staff - Storage
Build and maintain the distributed object storage system underpinning Modal's serverless AI platform — caching, replication, peer-to-peer sharing, and garbage collection across hundreds of petabytes spanning cloud object stores, CDNs, and local NVMe. Core tech: distributed storage/caching systems, S3/CDNs, Linux kernel internals, with Rust as a plus.
Member of Technical Staff - Research, Post-Training
Modal is hiring a post-training researcher to own end-to-end LLM research bets—async/agentic RL, on-policy distillation, long-context RL, and small routing models—working in-person in NYC or SF alongside forward deployed engineers and external research labs to turn frontier post-training techniques into products.
Member of Technical Staff - Research, Inference
Modal is hiring a research staff member to own end-to-end inference research, focusing on speculative decoding, quantization (FP8/INT4), KV-cache management, and disaggregated prefill/decode to reduce cost per token and tail latency for their AI infrastructure platform. This is an in-person role in NYC or SF, working directly with customers and external research labs like ZLab and SGLang.
Systems Engineering Manager
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,…
Member of Technical Staff - Product (Growth)
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,…
Member of Technical Staff - ML Performance
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,…
Systems Engineering Manager
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,…
Member of Technical Staff - SDK
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,…
Member of Technical Staff - Systems
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,…