Machine Learning Engineer

Your role in the team

Our expectations of you

Education

• Bachelors’ degree in a technical field such as computer science, mathematics or equivalent experience.

Qualifications

• Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks.
• Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
• Strong communications and interpersonal skills.
• A genuine passion for learning new things and helping colleagues improve.
• MSc/PhD in a related field (Computer Vision, Machine Learning)

Experience

• 3+ years of research or engineering experience with machine learning approaches, in one or more of the following areas: hand/body tracking, object detection, object pose tracking, scene understanding (segmentation, classification), neural scene representation.
• Experience with machine learning frameworks (PyTorch, TensorFlow, etc.), as well as with cloud environments (GCP, AWS, etc.).
• Experience with software development in Python or C++.
• Experience in integrating Machine Learning models into Augmented Reality solutions.
• Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation, etc.
• Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.