As a deep learning research engineer at Deci AI, you will conduct high-quality hands-on engineering and empirical research, using and developing state-of-the-art techniques and algorithms. Your work will be done both solo and in collaboration with other deep learning engineers and researchers. We are looking for someone who is fast-paced, versatile, display leadership qualities, and is passionate about taking on new challenges.
Requirements:
- 5+ years of deep learning hands-on, production-oriented experience in industrial settings, with 1+ years of experience in PyTorch
- M.Sc. in computer science or a similar technical field
- Comprehensive knowledge of machine learning and deep learning
- B.Sc. degree in computer science or a similar technical field
- Excellent team player with strong communication skills in verbal and written English
- Extensive knowledge of OOP, design patterns, and SOLID software development principles in Python
Preferred qualifications:
- Publication in a top-tier machine or deep learning peer-reviewed venue
- Experience with the original design of deep neural models for complex problems
- Proven track record in delivering deep learning models for industrial production
Responsibilities:
- Design and implement DL algorithms to deliver advanced computer vision solutions.
- Lead and carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts, and scientific papers, and integrating outcomes into our product
- Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers’ highly-skilled deep learning engineers and scientists
- Mentor and collaborate with deep learning engineers