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ML Research Engineer, ML Systems
Summary by AIEngineer.careers
ML Research Engineer, ML Systems is a ML Research Engineer role (full-time). with Scale AI, Inc. in SEATTLE, US. Compensation shown: $190K–$237K. Imported listing (source: jobs-in.us). Apply on the employer's site (jobs-in.us).
Imported listing (source: jobs-in.us) · Apply on jobs-in.us
SEATTLE · US
$190K–$237K
Full-time
MID
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 jobs-in.us
Join the ML systems team at Scale AI as an ML Research Engineer to build and optimize internal distributed frameworks for large language model training and inference. You will play a key role in supporting ML research and development initiatives by enhancing system performance and scalability.
Responsibilities
- Build and optimize internal distributed frameworks for LLM training and inference
- Support ML research and development activities
- Improve system performance and scalability for large-scale models
Requirements
- Experience in machine learning research and engineering
- Strong background in distributed systems
- Knowledge of large language model architectures and training processes
Nice to Have
- Publications in ML/AI conferences
- Experience with cloud-based distributed computing platforms
Tech Stack
Machine LearningDistributed SystemsLarge Language Models
SA
Scale AI, Inc.
San Francisco · US · 6800+ employees
Scale AI is a data platform company that provides high-quality training data, AI evaluation infrastructure, and full-stack AI technologies. It supports leading organizations and governments in building, deploying, and overseeing reliable AI applications.
