Staff Research Engineer, LLM Inference & Systems
fdetimesNew York (NY)
Staff Research Engineer, LLM Inference & Systems
Posted today
fdetimesNew York (NY)
SENIORITY
Mid
About the role
Modal is building an infrastructure layer for AI, enabling end-to-end LLM serving from training to deployment. As a research-focused engineer, you will own high-impact inference bets and work with the research lead to push them from concept to production.
You will collaborate with customers and Forward Deployed Engineers to tune models, investigate speculative decoding, quantization, and autoscaling, and help shape the research agenda for scalable, low-latency AI at scale.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.