Senior Machine Learning Engineer, Simulation

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
• Integrate the data-driven models into simulation pipelines with seamless compatibility.
• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
• Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
• Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
• Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.

• MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
• Extensive experience applying deep learning techniques to time series forecasting and data analysis.
• Proficient in Python with experience working in large codebases.
• Excellent communication skills and the ability to collaborate effectively in a team setting.
• Familiarity with state-of-the-art deep learning models and their applications.
• Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.

• Proficient in C++
• Background in autonomous vehicle prediction, planning, and control
• Strong understanding of conventional vehicle dynamics modeling
• Experience with autonomous vehicle or robotics simulation and related concepts

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.