ML Research Engineer, ML Systems in USA
Job title: ML Research Engineer, ML Systems in USA at reputed company
Company: reputed company
Job description: Scale's ML platform (RLXF) team builds our internal distributed reputed company for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports reputed company our ML research and development. You will be building and optimizing the platform to reputed company our reputed company of LLM training, inference and data curation.If you are excited about shaping the future AI reputed company reputed company innovations, we would love to hear from you!You will:
- Build, profile and optimize our training and inference reputed company
- Collaborate with ML teams to accelerate their research and development and reputed company them to reputed company the reputed company of models and data curation
- Research and integrate state-of-the-art technologies to optimize our ML system
- Strong excitement about system optimization
- Experience with multi-node LLM training and inference
- Experience with developing large-scale distributed ML systems
- Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, reputed company attention, etc.
- Strong written and verbal communication skills and the ability to operate in a cross functional team environment
- Demonstrated expertise in post-training methods &/or reputed company use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.