Deep Learning Engineer

Responsibilities

• Design and develop novel deep learning learning models both for server-based processing and optimized for embedded devices
• Utilize techniques such as automated hyper-parameter searches, quantization, and compression to optimize models for a target hardware platform
• Work with large-scale datasets and leverage over 100 GPUs in a dedicated GPU cluster for training and inference
• Help improve our custom deep learning software stack (profiling, evaluation, visualization)
• Stay up-to-date with the latest innovations in deep learning research

Requirements

At least some, ideally all of the following:

• Bachelor’s or Master’s Degree in a technical field from a top-tier university
• Ability to write clean and well-documented Python code following best software engineering practices
• Dependable communication skills with full professional proficiency in English
• Passion for deep learning and medical technology
• Experience working with NumPy, Pandas, and data visualization libraries (e.g. Matplotlib)

Benefits

In addition to a competetive compensation package you can expect the following:

• Open, friendly, and collaborative company culture
• Company-sponsored team events and retreats
• Diverse team of international talent
• Green, modern office in the heart of Berlin
• Free meals, drinks, and snacks
• 30 days of paid vacation
• Company-sponsored BVG ticket
• A comfortable budget for your personalized equipment setup
• A hybrid on-site/home-office working style