- Professional
- Oficina en Berlin
Job description
You will be part of Audatic’s development team. Every member of the development team is encouraged to take ownership and responsibility for part of our DNN training infrastructure. We work on a variety of challenges surrounding deep learning, so there will be opportunities for you to work on various topics and learn new skills or expand existing ones.
Your Responsibilities Could Include
Below is a list of responsibilities of the dev team. You won't have to do all of these things at once. Together with you we’ll pick a few responsibilities, and these could change over time.
- Working very closely with our deep learning engineers and data scientists to design, maintain, and extend our system for training neural networks. This includes packages, tools and services written in Python, databases, virtual machines, cloud compute resources, and scheduling systems.
- Collaborating with our embedded software engineers on graph-manipulation tools to analyze and optimize our trained neural networks.
- Proactively identifying improvements to make our infrastructure more robust, efficient, and user-friendly. Part of this is working on the neural network training process to make it fast and hardware accurate.
- 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.
- Taking full ownership over parts of our codebase and infrastructure. At Audatic, you are encouraged to innovate and propose new projects or tasks 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.
Required Qualifications
- Bachelor’s or Master’s Degree in a technical field
- At least 2 years of relevant work experience
- Advanced Python programming skills and ability to write clean and well-documented code
- Dependable communication skills with full professional proficiency in English
- Willingness to learn new things and adaptability
Nice To Have Qualifications
The qualification below are nice to have. Please apply even if you do not fulfill all of these points!
- Experience designing and maintaining a deep learning infrastructure
- DevOps experience or experience working with any of the major cloud providers
- Experience with Python scientific computing packages (e.g., NumPy, SciPy, scikit-learn, TensorFlow) and with some technologies in our tech stack
Benefits
In addition to a competitive compensation package, you can expect the following:
- Diverse team of international talent and an open, friendly, and collaborative company culture
- Green, modern office in the heart of Berlin
- Company-sponsored team events and retreats
- Free daily meals, drinks, and snacks
- 30 days of paid vacation
- Company-sponsored BVG ticket
- Hybrid work policy with at least 60% on-site presence.
We look forward to your application!
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