As a deep learning research engineer, you will conduct research projects to advance the scientific front of AI.

Your work will be done both solo and in collaboration with other deep-learning engineers and researchers. We are looking for someone versatile, displays leadership qualities, and is passionate about taking on new challenges.

As a deep learning research engineer at Deci AI, you will conduct empirical research of the highest quality, using and developing state-of-the-art techniques and algorithms.

Requirements:

• M.Sc. degree in computer science or a similar technical field
• Comprehensive knowledge of machine learning and deep learning
• In-depth knowledge of at least one of the major frameworks (TensorFlow/PyTorch)
• 3+ years deep learning research experience in industrial settings
• Publication in a top-tier peer-reviewed venue
• 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:

• Ph.D. in computer science or a similar technical field
• 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:

• 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
• Contribute to Deci’s research efforts, leading to components that will be integrated and deployed in the Deci 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