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Machine Learning & Data Engineer

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Machine Learning & Data Engineer in USA new

  • Sunnyvale, CA

Responsibilities

  • Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
  • Create model calibration, parameter estimation, adaptive modeling, and data-driven model improvement methods.
  • Build workflows that compare model predictions with test, simulation, and real-world vehicle data.
  • Build 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.
  • Create 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, coding test, two interviews, offer negotiation, and hiring.
  • Screening procedures may vary by position, schedule, or other circumstances.
  • Applications must be submitted as PDF files under 30MB.
  • 42dot is an equal opportunity employer and encourages applications from U.S. veterans and qualified individuals with disabilities.

42dot

42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services ...

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