At UVeye, we’re on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world’s first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual’s efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior Deep Learning Algorithm Engineer with proven capabilities to lead the development of new products from concept to production.
A day in the life and how you’ll make an impact: Design and development of novel and efficient computer vision and deep learning algorithms from concept to production
* Create proof of concept for new products and technologies
* Evaluate and benchmark different algorithms on unique proprietary datasets
* Collaborate with team members to define future technology and features
* Stay updated on the latest advancements in DL research and implement best practices in DL development
We are looking for an experienced Senior Deep Learning Algorithm Engineer with proven capabilities to lead the development of new products from concept to production.
A day in the life and how you’ll make an impact: Design and development of novel and efficient computer vision and deep learning algorithms from concept to production
* Create proof of concept for new products and technologies
* Evaluate and benchmark different algorithms on unique proprietary datasets
* Collaborate with team members to define future technology and features
* Stay updated on the latest advancements in DL research and implement best practices in DL development
Requirements:
* MS.c. in CS, EE, or related field
* 5+ years of industry experience in the development and productization of deep learning algorithms
* Hands-on research and industry experience with a proven track record
* Experience with major deep learning frameworks (such as PyTorch, TensorFlow, etc.)
* Full proficiency in Python
Attributes:
* Comfortable in unexplored territory
* Possess the skill to break down intricate problems into manageable parts, followed by proposing effective and actionable solutions
* Good communication skills with a can-do attitude
* Agility and multitasking, Independent and self-motivated
* Good time management, task prioritization skills, and accountability
* MS.c. in CS, EE, or related field
* 5+ years of industry experience in the development and productization of deep learning algorithms
* Hands-on research and industry experience with a proven track record
* Experience with major deep learning frameworks (such as PyTorch, TensorFlow, etc.)
* Full proficiency in Python
Attributes:
* Comfortable in unexplored territory
* Possess the skill to break down intricate problems into manageable parts, followed by proposing effective and actionable solutions
* Good communication skills with a can-do attitude
* Agility and multitasking, Independent and self-motivated
* Good time management, task prioritization skills, and accountability
Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
This position is open to all candidates.
