Search
Go
This job is no longer accepting applications
This listing was closed on Jul 18, 2026.
Browse Open JobsSenior Software Engineer LLM Post-Training Platform
Summary by AIEngineer.careers
Senior Software Engineer LLM Post-Training Platform is a Machine Learning Engineer role (full-time). with Streamlit. in BELLEVUE, US. Compensation shown: $160K–$230K. Imported listing (source: careerbuilder.com). Apply on the employer's site (careerbuilder.com).
Imported listing (source: careerbuilder.com) · Apply on careerbuilder.com
BELLEVUE · US
$160K–$230K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careerbuilder.com
Snowflake's ML Platform team is building Cortex Training, an LLM post-training platform. They are seeking a Senior Software Engineer to design and build scalable distributed systems for GPU compute, productionize research building blocks, and drive performance at scale.
Responsibilities
- Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane.
- Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional GPU pools, with fault tolerance built in.
- Drive end-to-end performance at scale — keep the training, inference, and RL loops fast and the data plane responsive under heavy concurrent load, with GPUs kept saturated.
- Productionize research building blocks — partner with Snowflake Research to turn state-of-the-art training and inference techniques into reliable, composable components customers can run at enterprise scale.
Requirements
- 5+ years building and shipping production ML systems
- Strong distributed systems and infrastructure foundation — designing scalable, fault-tolerant services and operating them on Kubernetes in production.
S
Streamlit
San Francisco · US · 14+ employees
Streamlit is an open-source Python framework that allows data scientists and AI/ML engineers to transform data scripts into interactive web applications quickly. Acquired by Snowflake in 2022, it specializes in tools for machine learning model deployment and data visualization.
