Research Engineer - Reinforcement Learning

Key Skills

C++, Computer Vision (CV), Data Analysis, Machine learning techniques, NumPy, Python Programming, PyTorch, SciPy, TensorFlow

Job Description

At Five, we’re creating a platform for autonomous vehicle development and safety assurance. Our platform will empower the industry to build automated driving systems that are safer, smarter, faster and scalable. We're doing this by applying insights learned from solving some of the most challenging problems in this space.

We’re engineers, scientists, developers, and designers. We’re problem-solvers, dreamers, pioneers, innovators, creatives and pragmatists. We’re new hands and accomplished pros. We’re hard-working people, solving far-reaching challenges.

About the Team

The position is within the Motion Planning and Prediction team based in Edinburgh, Scotland. The team focuses on a wide range of aspects related to planning and prediction, from low-level trajectory planning to high-level reasoning over the optimal sequence of behaviours, all while taking into consideration the other traffic participants and predicting their reactions. We're looking for individuals who can positively contribute to both our applied and research effect - take a look here https://www.five.ai/our-research at our recent research outcomes at top international conferences (e.g. RSS, IROS, ICRA, CORL and more).

What you will do

As part of a multidisciplinary team, collaborating across multiple teams and research projects both within Five and Bosch, you will Propose and develop reinforcement learning algorithms for safety-critical Motion Planning and Prediction targeting a large variety of scenarios. Keeping up with latest advances and research in the field, while sharing the knowledge and ideas with your colleagues with the objective of continuously improving our technology.

About You

• You will ideally have a PhD degree in computer science, machine learning, decision making or similar fields, or equivalent research experience in relevant industrial settings
• You will have deep and proven experience with a variety of Reinforcement Learning techniques, in particular with deep learning and imitation learning, coupled with experience with one or more popular machine learning frameworks such as Tensorflow, PyTorch or similar.
• You will have a strong understanding of statistics, sampling and estimation techniques, e.g. Monte Carlo, Importance Sampling etc.
• You will have strong software engineering experience with Python along with mathematical programming such as Numpy, Scipy or similar. Any experience with Cloud Computing Services would also be beneficial.

Benefits

You will be joining a European leader in the autonomous driving system market where you can have a real impact in a smart, low-ego multi-cultural team. We provide an environment where you can develop your skills and deliver meaningful work that matters. You’ll be rewarded with a competitive salary and financial package, pension and private medical care.