The Role
Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.
Summary Generated by Built In
We are seeking a Senior Research Engineer to advance AI capabilities in perception for robotics, focusing on enabling robots to understand dynamic environments and perform complex tasks. You will contribute to building robust AI foundations for next-generation robotic platforms.
Responsibilities:
- Develop computer vision models and algorithms, from data preparation to deployment.
- Build state-of-the-art algorithms for object detection, pose estimation, tracking, depth estimation, multi-sensor fusion, 3D reconstruction, neural rendering and large language models.
- Implement pipelines for multi-task learning and distributed training.
- Deploy AI models on RoboForce robots for real-world applications.
Qualifications:
- Master’s degree in Machine Learning, AI, Robotics, or a related field with 4+ years of industry experience, or a PhD degree.
- Strong programming skills in Python.
- Expertise in modern ML architectures and computer vision techniques.
- Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar.
- Strong understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with practical experience in implementing these concepts.
- Requires 5 days/week in-office collaboration with the teams.
Preferred Skills:
- Publication on top conferences in perception solutions.
- Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
- Proven ability to scale training jobs across GPU clusters.
- Expertise in C++ programming.
Top Skills
Cuda
Jax
Python
PyTorch
TensorFlow
Tensorrt
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The Company
What We Do
RoboForce, an AI-Robotics company, is building a first-of-its-kind Robotic Workforce System to take on the most tedious, force-demanding, and dangerous work humans don't have to do