Software Engineer developing and maintaining DNN training infrastructure at Audatic. Collaborating on machine learning projects in a dynamic team environment in Berlin, Germany.
Responsibilities
Be part of Audatic's development team
Take ownership and responsibility for part of our DNN training infrastructure
Work closely with deep learning engineers and data scientists to design, maintain, and extend systems for training neural networks
Collaborate with embedded software engineers on graph-manipulation tools
Identify improvements to make infrastructure more robust, efficient and user-friendly
Work on the neural network training process to enhance speed and hardware accuracy
Develop tools for better insights and control over machine learning & deep learning experiments
Leverage CI/CD system to minimize repetitive tasks
Requirements
Bachelor’s or Master’s 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
Experience designing and maintaining a deep learning infrastructure (Nice To Have)
DevOps experience or experience working with any of the major cloud providers (Nice To Have)
Familiarity with Python scientific computing packages (e.g., NumPy, SciPy, scikit-learn, TensorFlow) (Nice To Have)
Experience with some technologies in our tech stack (Nice To Have)
Benefits
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)
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