Remote Senior Deep Learning Research Engineer (Remote)

Description:

• Develop and implement state-of-the-art computer vision models and algorithms.
• Lead and contribute to the development of novel deep learning models and techniques, focusing on LLMs and Computer Vision.
• Use deep learning frameworks like TensorFlow or PyTorch for model development and training.
• Deploy and scale models on cloud platforms such as AWS or Azure.
• Create high-performance deep learning models for shape completion, vision-language tasks, and pose alignment with detailed documentation.
• Design new deep learning algorithms tailored to foot and MSK health needs, showing performance enhancements.
• Assist in creating tools and processes for efficient model training and evaluation.

Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field with a deep learning or AI focus.
• Strong expertise in Computer Vision and Deep Learning.
• Experience with cloud platforms like AWS or Azure.
• Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch), programming languages, and data manipulation tools.
• Familiarity with Large Language Models (LLMs) and advanced computer vision techniques.
• Extensive experience in 3D reconstruction, shape completion, object detection, and segmentation.
• Knowledge of vision-language models, Gaussian splatting, network optimization, and SIM2Real techniques.

Benefits:

• Generous equity package.
• Comprehensive benefits package.
• Unlimited paid time off.
• Opportunities for professional growth.