Dein persönlicher KI-Karriere-Agent
Machine Learning Engineer, App SW(m/w/x)
Developing end-to-end driving models and evaluation pipelines for autonomous driving AI at Embodied AI developer. Proven track record shipping production deep learning with Python/PyTorch expertise required. Direct influence on core AI architecture and training methodologies.
Anforderungen
- Proven track record shipping production deep learning
- Expertise in deep learning
- Proficiency in Python, C++, CUDA, and PyTorch
- Experience with real-time systems or robotics
- Ability to lead initiatives and mentor
- Prior work in autonomous driving
- Familiarity with human behavior modeling
- Experience integrating ML into production hardware
- Passion for self-driving cars
Aufgaben
- Develop robust end-to-end driving models
- Lead personalized and collaborative driving projects
- Build closed-loop and open-loop evaluation pipelines
- Curate real-world and synthetic data sets
- Influence architecture and training methodologies
- Collaborate cross-functionally to ensure integration velocity
- Mentor senior engineers on technical direction
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
- CUDA
- PyTorch
Benefits
Flexibles Arbeiten
- Hybrid working policy
- Core working hours
- Flexible schedule
Lockere Unternehmenskultur
- Inclusive interview experience
Sonstige Vorteile
- Interview accommodations
Noch nicht perfekt?
- WayveVollzeitmit HomeofficeSeniorLeonberg
- Applied Intuition
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Machine Learning Engineer, App SW(m/w/x)
Developing end-to-end driving models and evaluation pipelines for autonomous driving AI at Embodied AI developer. Proven track record shipping production deep learning with Python/PyTorch expertise required. Direct influence on core AI architecture and training methodologies.
Anforderungen
- Proven track record shipping production deep learning
- Expertise in deep learning
- Proficiency in Python, C++, CUDA, and PyTorch
- Experience with real-time systems or robotics
- Ability to lead initiatives and mentor
- Prior work in autonomous driving
- Familiarity with human behavior modeling
- Experience integrating ML into production hardware
- Passion for self-driving cars
Aufgaben
- Develop robust end-to-end driving models
- Lead personalized and collaborative driving projects
- Build closed-loop and open-loop evaluation pipelines
- Curate real-world and synthetic data sets
- Influence architecture and training methodologies
- Collaborate cross-functionally to ensure integration velocity
- Mentor senior engineers on technical direction
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
- CUDA
- PyTorch
Benefits
Flexibles Arbeiten
- Hybrid working policy
- Core working hours
- Flexible schedule
Lockere Unternehmenskultur
- Inclusive interview experience
Sonstige Vorteile
- Interview accommodations
Über das Unternehmen
Wayve
Branche
IT
Beschreibung
Wayve is the leading developer of Embodied AI technology, creating AI software and foundation models for autonomous driving systems.
Noch nicht perfekt?
- Wayve
Principal ML Engineer, App SW(m/w/x)
Vollzeitmit HomeofficeSeniorLeonberg - Applied Intuition
Software Engineer - Active Safety(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenStuttgart - Olmatic GmbH
AI & ML Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenStuttgart, München - Trimble
Senior Algorithm Engineer (3D reconstruction)(m/w/x)
Vollzeitmit HomeofficeSeniorStuttgart - Flip GmbH
Senior AI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Stuttgart