Computer Vision & Machine Learning Engineer

What you'll do

• Develop and optimize algorithms for pose estimation, gesture recognition, facial analysis, and behavioral modeling.
• Build motion synthesis and biometric systems for human motion generation, animation, authentication, and identification.
• Create real-time 3D perception and tracking systems for spatial computing and AR/VR applications.

What they ask for

• Master's or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.
• Deep learning experience demonstrated in at least one multimodal area, such as vision, language, or video.
• Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
• Experience with research prototyping and validation, strong mathematical foundations, and foundation model architectures and training methodologies.

Nice to have

• PhD or equivalent practical experience; relevant publications or a strong record applying deep learning to real-world products.
• Experience with foundation models, autonomous or semi-autonomous agents, multimodal pretraining, distributed training, or model parallelism.

Pay

$150,400 and $277,600 (base salary)

Tools

Python, PyTorch, JAX

AI focus

Applied deep learning and machine learning for multimodal perception, human understanding, motion synthesis, biometric recognition, foundation models, and real-time 3D perception.