We are looking for a Machine Learning Scientist with experience applying deep learning methods to computer vision and image synthesis problems. The ideal candidate is interested in creating and adapting user interfaces for data collection and ground-truth modeling, and values deploying models in real-world applications over 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 deploy models in production environments
• Evaluate and improve model performance based on real-world feedback and use cases
• Stay current with advancements in deep learning, computer vision, and related technologies
• Document processes, experiments, and results for internal knowledge sharing

You’re a great fit if you:

• Have experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision techniques
• Are skilled in designing and adapting user interfaces for data collection
• Prefer deploying models in real-world scenarios over optimizing for benchmark leaderboards
• Are comfortable working in a collaborative, fast-paced environment
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Are self-motivated and able to manage multiple projects simultaneously

To apply, email jobs@mentalcanvas.com and include ‘RE: ML Scientist’ in the subject line.