Machine Learning Engineer - Pre Training
Mindbeam · Remote
- Posted
- 50 days ago
- Last confirmed live
- 1 day ago
What this role involves
Mindbeam is seeking a Machine Learning Engineer to design and optimize large-scale pre-training systems for generative AI models. The role involves building scalable pipelines, implementing distributed training strategies, and collaborating with researchers. Requires 2+ years of experience with large-scale model training and distributed systems.
Skills this posting asks for
- python
- pytorch
- tensorflow
- jax
- gpu scheduling
- memory optimization
- parallelism strategies
- docker
- kubernetes
- high-performance computing
- distributed training
- scalable pre-training pipelines
- monitoring
- fault-tolerance
Requirements
- 2 years of experience
From the employer’s posting
About Mindbeam We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level. What drives us is not only advancing te…
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