Deep Learning Research Engineer

Deci.AI is on a mission to empower AI developers by providing them with robust tools to create innovative AI-based solutions. Our goal is to guarantee that these models not only excel in production but also unlock their full potential.

Join us in shaping the future of AI, where innovation meets empowerment at every level.

What you’ll do

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.

Minimum Qualifications:

• 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:

• 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