Staff ML Engineer: End-to-End Map Reconstruction

General Motors

Sunnyvale (CA)

Vor Ort

USD 185.000 - 335.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

General Motors is seeking a Staff Machine Learning Engineer to lead automated map reconstruction within the Mapping Organization. You will architect and deliver end-to-end ML and CV pipelines to reconstruct map primitives from multi-modal sensor data, powering national-scale deployments.

You will mentor engineers, shape technical strategy, and drive cross-functional initiatives across Perception, Localization, Simulation and Platform teams, with high autonomy in ambiguous problem spaces.

Qualifikationen

  • 5+ years of experience building and deploying machine learning or computer vision systems in production environments.
  • Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models.
  • Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus.
  • Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation.
  • Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or related field, or equivalent industry experience.
  • Strong systems thinking — ability to reason about end-to-end ML systems, not just individual models.

Aufgaben

  • Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data.
  • Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment.
  • Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.
  • Lead the development and adoption of state-of-the-art computer vision and ML techniques applied to mapping problems.
  • Own cross-functional technical initiatives, working with Perception, Localization, Simulation and Platform teams to define interfaces and data contracts.
  • Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams.
  • Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows.
  • Serve as SME for ML-based mapping within Mapping and across the AV organization.
  • Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise.

Kenntnisse

ML pipelines
Computer Vision
Python
C++
System architecture
Leadership

Ausbildung

BS/MS/PhD in CS/EE/Robotics

Jobbeschreibung

General Motors is seeking a Staff Machine Learning Engineer to lead automated map reconstruction within the Mapping Organization. You will architect and deliver end-to-end ML and CV pipelines to reconstruct map primitives from multi-modal sensor data, powering national-scale deployments.

You will mentor engineers, shape technical strategy, and drive cross-functional initiatives across Perception, Localization, Simulation and Platform teams, with high autonomy in ambiguous problem spaces.

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