What will your job look like:
- Work closely with algorithm developers and infrastructure engineers to design, develop and automate the software that supports distributed training of deep learning algorithms.
- Set the standard for developing reliable software, allowing reproducible research at scale.
- Build and improve data pipelines to make the development process for deep learning algorithms more efficient.
- Develop products that help algorithm developers test their models on large-scale real-world data. Our tech stack includes: Pandas, Polars, PyTorch, Kubernetes, Argo-Workflows, Spark, AWS.
All you need is:
- B.Sc. in Computer Science, Engineering, Software Engineering, or equivalent practical experience.
- At least 5 years of professional experience developing software with Python
- Experience with Deep Learning/ML and data analysis libraries. Solid understanding of system design principles and data engineering concepts
- Experience working in a containerized environment (Docker, Kubernetes, Argo) and CI/CD (Jenkins/ GitlabCI /Github Actions / Travis...)
Advantages:
- Experience with collaboration on a software product
- Experience with open-source development
- Knowledge of building scalable data systems and high-performance pipelines.

0 applies
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