Job Description

Are you passionate about the cutting-edge intersection of machine learning and computer vision? Do you thrive on building transformative models that redefine how machines understand the world? Join us as a Machine Learning Engineer – Perception Foundation Model and become a key architect in shaping the future of AI-driven perception systems!

About the Role

As a Machine Learning Engineer in our Perception Foundation Model team, you will lead the development of foundational machine learning frameworks that empower intelligent systems to perceive and interpret their surroundings with unparalleled accuracy. Your work will directly influence advancements in autonomous vehicles, robotics, augmented reality, and beyond.

This isn’t just a job – it’s an opportunity to revolutionize the way machines see and understand the world.

What You’ll Do

• Design and Develop Models
  • Architect and fine-tune large-scale perception models utilizing state-of-the-art techniques in deep learning, computer vision, and multimodal learning.
• Push the Boundaries of Research
  • Explore and implement innovative approaches to build foundational models for perception, leveraging techniques like Vision Transformers (ViTs), self-supervised learning, and generative AI.
• Optimize for Performance
  • Engineer solutions that achieve real-time performance in edge and cloud-based systems while maintaining scalability.
• Collaborate Across Teams
  • Work with multidisciplinary teams, including data scientists, product managers, and software engineers, to integrate perception capabilities into broader platforms.
• Deploy Impactful Solutions
  • Drive the transition from research prototypes to production-ready systems used in real-world applications.