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Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.
Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale
We are seeking skilled engineers to join several key teams within our organization. These include our End2End Model Development Team, which is tasked with creating comprehensive models for real-world applications; our Datasets Team, which focuses on a data-centric approach to ensure we have the highest quality data for training our models; and our Model Optimization Team, where expertise in technologies like CUDA is essential for enhancing model performance and efficiency. Each team plays a critical role in our commitment to advancing cutting-edge solutions, and your contribution will help drive innovation and excellence across our projects.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age, religious belief, marital status, protected veteran status, or any other legally protected status.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Full Time
Education & Training Services
$136k-169k (estimate)
04/07/2024
05/04/2024
wayve.ai
AALBORG MARKJORDER, NORDJYLLAND
50 - 100
2017
PHILIP BREDSIG ULF PEDERSEN
<$5M
Education & Training Services
The job skills required for Machine Learning Engineer (Vision) include Computer Science, Python, Futures, Insight, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer (Vision). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer (Vision). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer (Vision) positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer (Vision), it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer (Vision). You can explore the career advancement for a Machine Learning Engineer (Vision) below and select your interested title to get hiring information.