Senior, ML Engineer - Learned Localization
¿Es esta oferta para usted?
Crear mi CV Cree su CV y descubra su porcentaje de coincidencia con este puesto — y con todos los demás.
Sigue tus candidaturas desde el móvil La app gratuita de Whileresume, en iPhone y Android.
El puesto
Design, build, and optimize ML models for localization, including learned pose estimation, map-based localization, and sensor fusion pipelines using camera, LiDAR, and radar data.
Develop high-performance training and evaluation workflows with PyTorch, distributed training, and large-scale multimodal datasets.
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack with real-time constraints.
Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to production-level reliability.
Contribute to system design, code reviews, best practices, and documentation across ML and autonomy teams.
Qualifications include 6+ years (or 3+ with Master’s) of applied ML for AV/Robotics, strong 3D geometry, probabilistic estimation, and production-grade Python/C++ software engineering.
Develop high-performance training and evaluation workflows with PyTorch, distributed training, and large-scale multimodal datasets.
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack with real-time constraints.
Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to production-level reliability.
Contribute to system design, code reviews, best practices, and documentation across ML and autonomy teams.
Qualifications include 6+ years (or 3+ with Master’s) of applied ML for AV/Robotics, strong 3D geometry, probabilistic estimation, and production-grade Python/C++ software engineering.
Ver la oferta completa
Funciones, perfil, competencias y ventajas — crea tu cuenta gratis.
o
¿Ya tiene una cuenta?
Iniciar sesiónEstas ofertas podrían interesarte
Ninguna oferta realmente parecida por ahora — estas son las más recientes.