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.
More about the role:
Below is a list of responsibilities of the dev team. Together with you well pick a few of these 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.
You will be 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.
- Were 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:
- Bachelors or Masters Degree in a technical field
- At least 2 years of relevant work experience
- Proficiency in Python with a demonstrated ability to write robust clean and maintainable code
- Dependable communication skills with full professional proficiency in English
- Willingness to learn new things and adaptability
Nice to have:
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
- Familiarity with Python scientific computing packages (e.g. NumPy SciPy scikit-learn TensorFlow)
- Experience with some technologies in our tech stack
More about what we offer:
At Audatic youll be part of a diverse international and passionate team that values collaboration and innovation. We provide an environment that supports both your professional development and personal well-being.
You can expect:
Competitive compensation package
30 days of paid vacation
Free daily meals drinks and snacks at our modern Berlin office
Company-sponsored BVG public transport ticket
Regular team events and company retreats
Hybrid work model (at least 60% on-site)
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 o...
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.
More about the role:
Below is a list of responsibilities of the dev team. Together with you well pick a few of these 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.
You will be 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.
- Were 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:
- Bachelors or Masters Degree in a technical field
- At least 2 years of relevant work experience
- Proficiency in Python with a demonstrated ability to write robust clean and maintainable code
- Dependable communication skills with full professional proficiency in English
- Willingness to learn new things and adaptability
Nice to have:
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
- Familiarity with Python scientific computing packages (e.g. NumPy SciPy scikit-learn TensorFlow)
- Experience with some technologies in our tech stack
More about what we offer:
At Audatic youll be part of a diverse international and passionate team that values collaboration and innovation. We provide an environment that supports both your professional development and personal well-being.
You can expect:
Competitive compensation package
30 days of paid vacation
Free daily meals drinks and snacks at our modern Berlin office
Company-sponsored BVG public transport ticket
Regular team events and company retreats
Hybrid work model (at least 60% on-site)
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