What are the responsibilities and job description for the Senior ML Engineer, Perception position at RoboForce?
We are seeking a Senior ML 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 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 related field with 4 years of industry experience.
Strong programming skills in C and 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.
Must be on-site with no remote work option.
Preferred Skills :
PhD with 3 years of relevant experience.
Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
Strong publication record in perception solutions.
Proven ability to scale training jobs across GPU clusters.
Keep a pulse on the job market with advanced job matching technology.
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