Wayve
Machine Learning Engineer, App SW(m/w/x)
Full-timeWith HomeofficeSenior
Leonberg
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WAWayve
Principal ML Engineer, App SW(m/w/x)
Leonberg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing end-to-end driving models and evaluation pipelines for embodied AI autonomous driving systems. Proven track record shipping deep learning required. Hybrid working policy, core working hours.
Requirements
- Proven track record shipping deep learning
- Expertise in deep learning models
- Proficiency in Python, C++, and CUDA
- Experience with real-time systems or robotics
- Ability to lead technical initiatives
- Prior work in autonomous driving (Desirable)
- Familiarity with human behavior modeling (Desirable)
- Experience integrating ML into hardware (Desirable)
- Passion for self-driving cars
Tasks
- Develop end-to-end driving models for performance and robustness
- Lead personalized and collaborative driving initiatives
- Build evaluation pipelines for closed-loop and open-loop performance
- Curate real-world and synthetic data for scenario diversity
- Influence architecture choices and production training methodologies
- Collaborate cross-functionally to ensure high iteration velocity
- Mentor senior engineers and shape long-term technical direction
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- CUDA
- PyTorch
Benefits
Flexible Working
- Hybrid working policy
- Core working hours
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wayve and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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WAWayve
Principal ML Engineer, App SW(m/w/x)
Leonberg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing end-to-end driving models and evaluation pipelines for embodied AI autonomous driving systems. Proven track record shipping deep learning required. Hybrid working policy, core working hours.
Requirements
- Proven track record shipping deep learning
- Expertise in deep learning models
- Proficiency in Python, C++, and CUDA
- Experience with real-time systems or robotics
- Ability to lead technical initiatives
- Prior work in autonomous driving (Desirable)
- Familiarity with human behavior modeling (Desirable)
- Experience integrating ML into hardware (Desirable)
- Passion for self-driving cars
Tasks
- Develop end-to-end driving models for performance and robustness
- Lead personalized and collaborative driving initiatives
- Build evaluation pipelines for closed-loop and open-loop performance
- Curate real-world and synthetic data for scenario diversity
- Influence architecture choices and production training methodologies
- Collaborate cross-functionally to ensure high iteration velocity
- Mentor senior engineers and shape long-term technical direction
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- CUDA
- PyTorch
Benefits
Flexible Working
- Hybrid working policy
- Core working hours
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wayve and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Wayve
Industry
IT
Description
Wayve is the leading developer of Embodied AI technology, creating AI software and foundation models for autonomous driving systems.
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