In this role, you will have end-to-end responsibility to lead and advance cutting-edge research in the development of Generic AI models, with a specialized focus on Resource-Constrained AI. Our primary goal is to achieve high-performance models that operate with maximum efficiency under strict resource limitations.
Responsibilities:
• Research, design, and implement innovative architectures to enhance neural computation models (any approach to this matter is welcome).
• Research, develop, and optimize machine learning workload in both training and inference stage.
• Propose and implement creative solutions to optimize existing network structures and drive structural innovation.
Qualifications:
• Minimum Master’s degree in Artificial Intelligence, Computer Science, or a related field (with at least 5 years of experience)
• Deep mastery of Machine Learning and Deep Learning concepts.
• Technical proficiency in Python programming, and familiar with version control systems (codebase, models, and data) and experiment tracking.
You will be a strong candidate if:
• You are the last year PhD student.
• You have knowledge of software engineering best practice.
• You are familiar with various processor architectures and hardware-aware optimization.
به خانه هـوش ایــران خوش اومدید!
خانه هوش ایران یک ساختار منسجم پژوهشی، آموزشی و اجرایی است که با هدف بومیسازی زیرساختهای هوش مصنوعی و تربیت نیروی انسانی متخصص فعالیت میکند. رویکرد استراتژیک ما، حذف فاصله میان دانش آکادمیک و نیازهای واقعی صنعت از طریق ایجاد یک زنجیره ارزش کامل است؛ زنجیرهای که نخبگان را از شناسایی اولیه در سطوح پایه تا هدایت پروژههای کلان و استراتژیک صنعتی همراهی میکند.