Machine Learning Software Engineer at UVeye

At UVeye, we’re transforming vehicle safety and reliability worldwide. Since our founding in 2016, we’ve developed the first fully automated vehicle inspection system, powered by groundbreaking AI, machine learning, and computer vision technologies. Backed by nearly $400M in funding and partnerships with leaders like Amazon, GM, Volvo, and CarMax, we’re shaping the future of automotive tech. Our global team of 200+ professionals thrives in a collaborative, diverse environment where innovation and excellence drive everything we do.

The Role

We’re looking for a Machine Learning Software Engineer to join our ML team. You’ll build scalable, high-performance ML systems for production and infrastructure, ensuring our technology remains at the cutting edge.

What You’ll Do

• Productize algorithms for large-scale deployment and optimized performance.
• Develop ML infrastructure & frameworks to streamline MLOps, CI/CD, and agile ML workflows.
• Optimize code and systems to enhance efficiency and scalability.
• Collaborate cross-functionally to shape future tech and features.

What You Bring

• 4+ years as a Backend Engineer (or equivalent).
• BSc in Computer Science or industry-equivalent experience.
• Strong Python development skills.
• Hands-on experience with:
  • Cloud-native applications (AWS/GCP/Azure).
  • Linux/Unix environments.
  • Containerization & orchestration (Docker, Kubernetes).
  • Algorithm optimization.

Nice-to-Haves

• Experience with PyTorch, TensorFlow, or other DL frameworks.
• Background in MLOps and end-to-end ML development.
• GPU/CPU optimization for performance-critical applications.
• Real-time or embedded systems development.

Why Join UVeye?

• Work with cutting-edge tech: Advance AI/ML in automotive safety.
• Global impact: Your work will redefine vehicle inspections worldwide.
• Growth opportunities: Learn from industry leaders and scale with a fast-growing innovator.