Lead GTM Engineer shaping BrainPOP's AI - first go - to - market engine. Oversee integration architecture and collaborate with cross - functional teams on strategic initiatives.
About the role
- 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)
- Hybrid work model (at least 60% on-site)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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