Senior ML Engineer - Localization
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Bewerbungen unterwegs verfolgen Die kostenlose Whileresume-App für iPhone und Android.
Die Stelle
Design, build, and optimize ML models for localization, including learned pose estimation, map matching, and sensor fusion pipelines across camera, LiDAR, and radar data.
Develop high-performance training and evaluation workflows using PyTorch, distributed training, and large-scale datasets.
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring real-time performance and reliability.
Analyze failure modes, perform ablations, and iterate to improve robustness for production-grade localization.
Contribute to system design, code reviews, best practices, and documentation across ML and autonomy teams.
Balance research with engineering discipline to deliver robust localization components suitable for on-vehicle deployment.
Develop high-performance training and evaluation workflows using PyTorch, distributed training, and large-scale datasets.
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring real-time performance and reliability.
Analyze failure modes, perform ablations, and iterate to improve robustness for production-grade localization.
Contribute to system design, code reviews, best practices, and documentation across ML and autonomy teams.
Balance research with engineering discipline to deliver robust localization components suitable for on-vehicle deployment.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
oder
Bereits ein Konto?
AnmeldenDiese Stellen könnten Sie interessieren
Noch keine wirklich ähnliche Stelle — hier die neuesten.