We are looking for a Machine Learning Scientist with experience applying deep learning methods to computer vision and image synthesis problems. The ideal candidate has a strong interest in creating and adapting user interfaces for data collection and ground-truth modeling. We value candidates who have experience deploying models in real-world applications rather than focusing solely on leaderboard performance.
Responsibilities will include
Develop and implement deep learning models for computer vision and image synthesis tasks
Design and adapt user interfaces to facilitate data collection and ground-truth modeling
Collaborate with cross-functional teams to integrate machine learning solutions into products
Evaluate and improve model performance based on real-world deployment and user feedback
Stay current with advancements in deep learning, computer vision, and related fields
You’re a great fit if you
Have hands-on experience with deep learning frameworks and computer vision techniques
Are skilled in building and deploying machine learning models in production environments
Have a strong interest in user interface design for data collection and annotation
Prefer practical, deployed solutions over theoretical or leaderboard results
Are self-motivated, organized, and able to work independently or as part of a team
To apply, email jobs@mentalcanvas.com and include “RE: ML Scientist” in the subject line.
