Advanced Deep Learning Engineer, Pretraining and Scalability

Qualifications

• This requires expertise with machine learning and a deep understanding of scaling large models, as well as experience building and scaling training in HPC clusters
• Familiarity with distributed training and parallelism strategies is also essential
• A strong background in research and development is required, including published papers in top conferences (ICML, ICLR, NeurIPS)

Responsibilities

• The responsibilities of this role include designing and implementing novel self-supervised learning approaches, rapidly implementing the latest state-of-the-art methods from the deep learning literature, and building scalable training pipelines

Full Description

We are a team of AI researchers, medical doctors, and operators advised by pioneers in their respective fields. Our goal is to shape the future of healthcare using cutting-edge technology.

At Ataraxis AI, we operate with a flat organizational structure where every team member actively contributes, and leadership roles are earned by those who demonstrate initiative and deliver high performance.

The responsibilities of this role include designing and implementing novel self-supervised learning approaches, rapidly implementing the latest state-of-the-art methods from the deep learning literature, and building scalable training pipelines.

This requires expertise with machine learning and a deep understanding of scaling large models, as well as experience building and scaling training in HPC clusters.

Familiarity with distributed training and parallelism strategies is also essential.

A strong background in research and development is required, including published papers in top conferences (ICML, ICLR, NeurIPS).