Lightci is hiring a
Senior Deep Learning Research Engineer, Remote - United States, Canada

Summary

The job is for a Computer Vision and Deep Learning Engineer in a foot care technology company. The role involves developing cutting-edge computer vision models and algorithms, with a focus on LLMs and Computer Vision. The candidate should have a Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience with handling text or speech as input in AI models
• Knowledge of TensorRT for model optimization and deployment

Benefits

• Generous equity package
• Benefits package
• Unlimited PTO
• Growth opportunities