Job Description

More about the role

• Working very closely with our deep learning engineers and data scientists to design, maintain, and extend our system for running deep learning experiments. This includes packages, tools and services written in Python.
• Owning the infrastructure that the experimentation framework is running on. This means dealing with databases, virtual machines, cloud compute resources and scheduling systems.
• Proactively identifying improvements to make our infrastructure more robust, efficient and user-friendly.
• Developing tools to provide better insights and control over machine learning & deep learning experiments. This includes our custom-built experiment control and visualization website.
• Leveraging our CI/CD system or other forms of automation to minimize repetitive tasks for the team.
• You will be taking full ownership over parts of our codebase and infrastructure. At Audatic, you are encouraged to innovate and propose new ideas for continuous improvements.

Tech stack

• Our main programming language is Python.
• Our tech stack is built around many popular (open source) tools, including but not limited to: Ubuntu, Docker and other container runtimes, Slurm, HashiCorp Vault, MongoDB, Postgres, Ansible, Prometheus, Grafana, Tensorflow, CUDA, React, FastAPI.
• Our CI/CD pipelines run on GitHub Actions with self-hosted runners.
• We’re in the process of migrating our infrastructure from an on-premise cluster to Azure, so new tools will be added to our tech stack soon.

More about you

You are a good match for this position if the points below apply to you.

• Bachelor’s or master’s degree in a technical field
• At least 2 years of relevant work experience
• Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code
• Experience with some technologies in our tech stack
• Knowledge of common software design and architecture patterns
• Dependable communication skills with full professional proficiency in English
• Willingness and ability to learn and adapt to new tools and environments

Nice to have

The qualifications below are nice to have. Please apply even if you do not fulfill these points!

• Experience designing and maintaining a deep learning infrastructure
• DevOps experience and experience working with any of the major cloud providers
• Familiarity with Python scientific computing packages (e.g., NumPy, SciPy, scikit-learn, TensorFlow)

More about what we offer

At Audatic, you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being.

• Competitive compensation package
• 30 days of paid vacation
• Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin
• Regular team events and a yearly retreat
• Company-sponsored public transport ticket (Deutschlandticket)
• Hybrid work model (at least 60% on-site)