Machine Learning & Data Engineer
Core
Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
Role type
Machine Learning & Data Engineer
Builds
Cloud-based infrastructure for data processing, model training, simulation, evaluation, and validation
Domain
Automotive / Machine Learning / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
machine learning, hybrid physics-data modeling, calibration, parameter estimation, adaptive modeling, data-driven model improvement, large-scale telemetry data processing, time-series data handling, cloud infrastructure, data pipelines, dataset management, model evaluation, experiment tracking
Preferred skills
vehicle intelligence workflows
Technologies
cloud platforms, data processing frameworks, simulation tools
Responsibilities
Develop calibration and parameter estimation methods; build workflows comparing model predictions with test and real-world data; ingest and clean large-scale vehicle telemetry; develop cloud infrastructure for training and validation; build tools for reproducible model development
