Role :-

Use techniques from machine learning, optimization, and control theory to plan and execute the vehicle trajectory

Formulate and run simulations that account for all plausible real-world scenarios across various operating domains.

You will be responsible for the downstream components of their model pipeline whilst working through the noisy data of a real- world environment.

Requirements:-

Ideally you will have a PhD in Control Systems.

Professional experience in control systems development, with experience at an automotive company a plus

A track record of having shipped models and code into production

Strong programming skills in object-oriented languages (functional programming is a plus), including ability to debug and optimize code

Working knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques

Strong communication skills including the ability to concisely translate technical information to non-experts.

Apply:-

Please contact Tina Kaul with a PDF resume at quants@ekafinance.com