Working on novel projects that involve fast system prototyping and experimentation using computer vision software, robotics systems, and machine learning models.
Design and execute cutting edge experiments.
Training state-of-the-art deep neural networks for prediction and reinforcement learning.
Designing robotic setups in the lab and physics simulation environments.
Identifying opportunities and driving new initiatives for applying machine learning
Contributing to technical blog posts, papers, talks and patent applications.
What you need:
Degree (PhD, MS, BS) in Computer Science, Statistics, Machine Learning, Applied Math, Physics or relevant majors with specialisation in artificial intelligence, machine learning, machine vision, robotics, or natural language processing is a big plus
Excellent knowledge of theory and practice of machine learning.
Proficient in Python
Knowledge in one or more deep learning frameworks, such as Tensorflow, Keras, PyTorch.
5+ years of work experience with at least 1 year focused on machine learning is a big plus
Excellent communication skills and strong at fostering work relationships.
What will help you further:
Knowledge in application areas such as computer vision and robotics.
Experience with data analysis and visualisation tools such as Jupyter, pandas, matplotlib.
Experience using Kubernetes, Docker and Cloud computing platforms (GCP, AWS).