Machine Learning Software Engineer - Remote

Overview

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.

In Short

• 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.
• 4+ 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.

Requirements

• 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.

Benefits

• 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.