Founding Engineer - Perception & Machine Learning

Founding Engineer - Perception & Machine Learning

A day in the life of a Founding Software Engineer (Machine Learning - Perception) will include but is not limited to:

• Discussions with the team on high level design decisions for various parts of our active sensing and perception systems.
• Prototyping or implementing and testing algorithms for improving our perception systems.
• Working with sensor data from multiple active sensors.
• Developing and testing data pipelines for various Machine Learning systems.
• Developing and testing pipelines for evaluating and improving various Machine Learning systems.
• Optimising various Perception systems to improve scalability, efficiency and inference speed.

Requirements:

What you need to succeed:

• Demonstrated excellence in algorithms development for perception. These include deep learning, classical machine learning or computer vision algorithms.
• Demonstrated excellence in software development for production systems. For example using testing, safety, and performance to inform design and implementation decisions.
• A measured, scientific approach to building complex engineering systems.

Extra Kudos to you if you also have:

• Working knowledge of C++11/14/17
• Working knowledge of Python (Numpy, Scipy, Tensorflow/PyTorch, Jupyter Notebooks, etc)
• Experience working with and analysing large volumes of labelled and unlabelled data
• Experience in developing ML pipelines, model training and evaluation, continuous integration and development, model quality monitoring and analytics in a production environment