Responsible for algorithm modeling, analysis, and implementation for ZEISS imaging products, including 2D/3D imaging, machine learning, and model deployment.
Responsibilities
Develop and optimize algorithms for image processing, machine learning, and model deployment
Solve core technical issues and optimize performance
Align cross-site technical efforts
Build and drive the tech stack development
Requirements
Master’s degree in math, computer science, software engineering or similar
Design, develop, and deploy large-scale machine learning models and AI pipelines across Meta's product surfaces, including ranking, recommendation, and generative AI systems.
Design, develop, and deploy large-scale machine learning models and AI pipelines across Meta's product surfaces, including ranking, recommendation, and generative AI systems
Own the end-to-end technical design of AI/ML systems, evaluating architectural trade-offs and selecting appropriate modeling approaches, training strategies, and inference frameworks
Instrument and profile ML training and serving pipelines to identify performance bottlenecks, reduce latency, and optimize compute efficiency at scale
Establish and maintain model evaluation frameworks, including offline metrics, online experimentation, and monitoring to ensure production model quality and reliability
Collaborate with product managers, data scientists, and research scientists to translate product requirements into ML problem formulations and deliver measurable improvements to key metrics
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Software Engineer, AI/MLMeta · Los Angeles, US+4 more