Core Responsibilities

Technical Development & Innovation

• Develop and optimize state-of-the-art computer vision and multimodal models

• Design and implement advanced model architectures for visual understanding tasks

• Create robust evaluation frameworks and testing methodologies

• Drive technical improvements in model performance and efficiency

• Research and evaluate new approaches in computer vision and multimodal learning

• Implement novel computer vision algorithms and techniques

Project Leadership

• Lead technical implementation of ML projects

• Drive architectural decisions for model development

• Review code and model architectures

• Contribute to technical planning and decision-making

• Support cross-functional collaboration with product and infrastructure teams

• Help maintain technical standards and best practices

Infrastructure & Scale

• Implement scalable training and evaluation pipelines for computer vision models

• Build efficient visual data processing workflows

• Develop monitoring solutions for production ML systems

• Optimize model performance and resource utilization

• Support deployment and production maintenance

• Design efficient inference systems for visual processing

Required Qualifications

Education & Experience

• MS or PhD in Computer Science, Engineering, Mathematics, or related field

• 5+ years of experience in Machine Learning/AI

• Strong track record of shipping computer vision models to production

• Deep expertise in computer vision and deep learning

Technical Expertise

• Expert knowledge of computer vision techniques and architectures

• Deep expertise in modern deep learning architectures for visual and multimodal tasks

• Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks

• Experience with cloud platforms and MLOps tools

• Demonstrated ability in building and optimizing training pipelines

• Strong background in image processing and visual computing

Leadership & Communication

• Experience leading technical projects

• Strong problem-solving and analytical skills

• Excellence in cross-functional collaboration and technical communication

• Ability to translate complex technical concepts to various audiences

This role offers the opportunity to work on cutting-edge computer vision and multimodal ML systems while solving complex technical challenges. The ideal candidate will combine deep computer vision expertise with strong implementation skills to deliver innovative solutions.