Deep Learning Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Ramblr is seeking a Deep Learning Engineer to deploy and maintain state-of-the-art AI models and improve the deep learning stack.
📋 What You'll Likely Do
40%: Write efficient, highly parallelized code to improve and extend our deep learning stack.
30%: Improve our platform to make training and deployment of models more efficient.
30%: Build and optimize parts of our model stack and efficiently integrate them into our overall pipeline.
🧑💻 Profiles Doing This Job
High Priority: Proficiency in python-based collaborative software engineering.
High Priority: Experience with Machine Learning and Computer Vision.
High Priority: M.Sc./Ph.D. in computer science, physics or mathematics with focus on computer vision, machine learning or a related field.
📈 How This Role Will Look on Your CV
Improved deep learning stack by writing efficient and highly parallelized code.