Software Engineer – Machine Learning
An ever-evolving heritage. A truly exciting future. Two of the world’s most iconic brands. Jaguar Land Rover is revered across the globe. Continually pushing the boundaries of innovation and redefining the benchmark for excellence, we set the standards others want to follow. We want to keep it that way too. Which is where you join the journey.
WHAT TO EXPECT
Working as a Software Engineer in an open, collaborative team, you’ll research, design, develop and deliver state of the art machine learning solutions. You’ll process data in a number of formats, from a variety of sources – before verifying its integrity and applying feature engineering techniques.
You’ll also ensure the high performance of the machine learning solution, by conducting experiments; creating prototype models; and harnessing validation and hyper-parameter tuning. Because of what you do, we’ll be able deliver robust driver assistance features that can be deployed on a large scale around the world.
WHAT YOU’LL NEED
With hands-on experience of implementing machine learning techniques to solve real world problems, you’ll have strong knowledge of deep learning, convolution networks and image processing, specifically for pattern recognition. You’ll know all about supervised, semi-supervised, and unsupervised learning approaches; and you’ll have previous experience of working with TensorfFlow, Keras, Caffe, or similar.
Alongside an understanding of feature selection, cross-validation and hyper-parameter tuning, you’ll have experience of GPU and parallel algorithm development, feature selection, cross-validation and hyper-parameter running. You’ll need experience in common data science toolkits too – such as Python, R, NumPy, SciPy, Scikit-learn and Matlab.
Experience with MISRA, C++, Python, Automotive SPICE and real time operating systems would also be beneficial.
Bring all this to the home of premium innovation where you'll receive a competitive salary and benefits package and you’ll find the opportunities to further your career with a world-class team.