2 days ago
Sunnyvale, CA, USAMid Level
Responsibilities
- Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
- Create methods for model calibration, parameter estimation, adaptive modeling, and data-driven model improvement across vehicle states and operating conditions.
- Build workflows that compare model predictions with test, simulation, and real-world vehicle data to identify model improvement opportunities.
- Develop pipelines to ingest, clean, synchronize, transform, store, and access large-scale vehicle telemetry and time-series data.
- Develop cloud-based infrastructure for data processing, model training, simulation, evaluation, and validation.
- Build tools for dataset management, model evaluation, experiment tracking, and reproducible model development.
- Support data processing, model evaluation, and analysis workflows for vehicle intelligence.
Benefits
- The interview process includes application review, a coding test, two interviews, offer negotiation, and hiring, with procedures potentially varying by position and circumstances.
- Applications should be submitted in PDF format under 30MB; applicants may email their resume and the posting URL if upload issues occur.
- 42dot is an equal opportunity employer and encourages applications from U.S. veterans and qualified individuals with disabilities.
Categories
Data EngineeringML Engineering
