Machine Learning Scientist

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.