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Senior Consultant | AI / Robotics and Autonomous Systems

About the Role

We're hiring a Senior ML Engineer, Perception to push the boundaries of real-world perception for robotics. In this role, you’ll design and deploy cutting-edge AI systems that help robots operate intelligently in dynamic and unstructured environments.

You'll be part of a high-impact team focused on developing scalable perception infrastructure and foundational AI capabilities for the next generation of robotic systems—from object detection and 3D scene understanding to multi-sensor fusion and neural rendering.

What You’ll Do

• Develop and deploy computer vision and perception algorithms
• Build models for object detection, pose estimation, tracking, depth estimation, 3D reconstruction, and neural rendering
• Work on multi-sensor fusion (camera, LiDAR, IMU) and large vision-language models for embodied agents
• Architect and implement pipelines for multi-task learning, distributed training, and real-world evaluation
• Contribute to scaling intelligent robotic platforms from research to production

What We’re Looking For

• Master’s/PHD degree in Machine Learning, Robotics, AI, or related field
• Strong hands-on experience with deep learning frameworks (PyTorch, JAX, TensorFlow, etc.)
• Solid understanding of 3D vision, linear algebra, geometry, optimization, and probabilistic modeling
• Skilled in Python and comfortable building high-performance ML codebases
• Experience working with modern CV/ML architectures, especially in robotic or embodied AI contexts

Preferred Qualifications

• Strong publication record in top-tier perception or robotics conferences (CVPR, ICRA, CoRL, RSS, NeurIPS, etc.)
• Experience with neural rendering, VLMs, or reinforcement learning for robotic systems
• Background in deploying models on edge hardware or real-time robotic platforms

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Staffing and Recruiting and Robotics Engineering

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