Note: We're representing an external client in search of qualified candidates for a role within their organization. This position offers a chance to be a part of our client's team and contribute to their objectives. As our client's search partner, we facilitate the initial stages of the selection process on their behalf. Please read on for more details about this opportunity. About our client Our client is at the forefront of revolutionizing foot care with their cutting-edge technology. They are dedicated to improving the quality of life for their users through innovative solutions that address common foot health issues.
Deliverables
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, with a focus on LLMs and Computer Vision.
Utilize deep learning frameworks such as TensorFlow or PyTorch for model development and training.
Leverage cloud platforms like AWS or Azure for model deployment and scalability.
Deliver high-performance deep learning models for shape completion, vision-language tasks, and pose alignment, with thorough documentation and implementation plans.
Develop and validate new deep learning algorithms and architectures tailored to the specific needs of foot and MSK health, demonstrating measurable improvements in performance.
Contribute to the development of tools and processes for efficient model training and evaluation.
About you
Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field with a focus on deep learning or AI.
Deep expertise in Computer Vision and Deep Learning.
Experience with cloud platforms such as AWS or Azure.
Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch), programming languages, and tools for data manipulation and visualization.
Familiarity with Large Language Models (LLMs), with a focus on processing text or speech as input, though specific experience in training LLMs is not required.
Extensive experience with advanced computer vision techniques, including 3D reconstruction, shape completion, and object detection and segmentation. Proficiency in applying vision-language models, Gaussian splatting, network optimization, and SIM2Real techniques to real-world problems.
Nice to have
Experience with handling text or speech as input in AI models.
Knowledge of TensorRT for model optimization and deployment.
Perks & Benefits
Generous equity package
Benefits package
Unlimited PTO
Growth opportunities
Note: Only candidates who meet the specified criteria and qualifications will be contacted for further consideration. Thank you for your understanding.
