Introduce innovative techniques to facilitate breakthroughs in quantitative reasoning and language
Stabilize large language model training and pipeline parallelism.
Fine-tune large language models with truthful data.
Engage in hands-on technical work: design and implement projects.
Conduct cutting-edge research in AI/deep learning on architectures, NLP, CV, and ASR.
Collaborate with leaders to deliver impactful projects across ML, data science, and information

🎯 Requirements

Bachelor’s or foreign equivalent in Computer Science, Computer Engineering, Mechanical Engineering
BigData systems: Spark, Hadoop, BigQuery, etc.
Build large-scale Kubernetes clusters for data storage/processing (on-prem and cloud).
Applied ML and deploying large-scale deep learning systems.
Work with distributed system engineers and AI researchers in NLP/CV/ASR.
Programming: Rust, C++, or Python in company software.

🎁 Benefits

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