Senior ML Backend Engineer

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 seek an experienced Machine Learning Software Engineer to join our ML Team.

In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments

A day in the life and how you’ll make an impact:

• Productization of algorithms - Optimized for large scale algo serving.
• Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
• Continuously explore ways to improve our code and ML Infrastructure
• Collaborate with team members to define future technology and features.
  
  

• 7+ years of experience as a Backend engineer
• Bsc in Computer Science or industry equivalent.
• Strong working experience in Python development.
• Working experience with building or maintaining cloud-native applications.
• Working experience with Linux/Unix.
• Working experience with VEnv, Docker, K8S
• Experience with optimizing algorithm implementations
  
  

• Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.). Comfortable in unexplored territory.
• Experience with ML development and MLOps
• Experience with optimizing algorithm implementations
• Experience with GPU/CPU optimizations
• Experience with Real-time/Embedded development