Company facts
- Founded
- 2021
- Employees
- 118
- Headquarters
- United States
- Type
- Private
Open positions
Analytics Engineer
Analytics Engineer on Modal's Data team in New York, building the company's modern analytics stack and writing data pipelines on tools like Snowflake, dbt, Hex, and Python/SQL. Day to day they power self-serve AI-driven analysis, metrics tracking, product analytics for new offerings, and cost/financial optimizations.
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.
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,…
Forward Deployed Engineer - ML
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 (Backend)
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,…