Valeo
automotive
GraduateDeepLearningResearchEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Graduate Deep Learning Research Engineer at Valeo. Skills: Deep Learning, computer vision, machine learning, Python, Keras, PyTorch, OpenCV. development of deep learning solutions enabling the next generation Automated Driving Platforms. classify all objects, road markings and surfaces in the vehicle environment”
What You'll Achieve.
providing unprecedented scene understanding
Industry & Context.
Outstanding analytical and problem-solving skills
What They're Looking For.
Must Have
BSc degree, or MSc degree, or PhD in any area with a focus on deep learning, Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning, Excellent English language communication skills, both written and verbal, High level of innovation and motivation
Nice to Have
Academic publications in relevant field, Understanding of data structures, data modeling and software architecture, Proficiency with Python, machine learning frameworks (Keras or PyTorch) and libraries (like scikit-learn), Proficiency with OpenCV, Familiarity with Linux, Excellent communication skills, Ability to work in a team, Outstanding analytical and problem-solving skills, Experience developing software for embedded platforms, Experience with version control software, Experience with imaging or optics systems
What You'll Do.
development of deep learning solutions enabling the next generation Automated Driving Platforms
road markings and surfaces in the vehicle environment
development of state of the art DL algorithms providing unprecedented scene understanding
remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive
Deep Learning network development and training
Select appropriate datasets and data representation methods
Perform statistical analysis and fine-tuning using test results
How You'll Work.
Team & Collaboration
Work with data engineers and analysts to ensure optimal data acquisition, data integrity and data pipelines; Develop and maintain a relationship with university counterparts; Ability to work in a team
Communication Scope
Excellent English language communication skills, both written and verbal; Excellent communication skills
Full Job Description
Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies. **Company Overview** The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms intrinsically designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle's environment via advanced sensor fusion. The department apply state of the art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & mapping, and machine & deep learning. The team specialises in redefining state-of-the-art computer vision and delivering next-generation advanced driver-assistance and automated driving systems for leading European, American and Asian OEMs. **Position Overview** As a deep learning engineer, you will be responsible for the development of deep learning solutions enabling the next generation Automated Driving Platforms. Deep learning will be applied to classify all objects, road markings and surfaces in the vehicle environment. You will be responsible for the development of state of the art DL algorithms providing unprecedented scene understanding. You will be expected to remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive. **Responsibilities** * Deep Learning network development and training *
Applying for this Graduate Deep Learning Research Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Valeo?
Real rants from real employees. Read before you apply.