Join Intel as an AI Algorithm Engineer to contribute to innovations in machine learning and artificial intelligence. The role focuses on developing next-generation code generation agents for GPU programming and creating machine learning-based solutions across various domains. You will work within the Client AI group, which is dedicated to researching technological trends in client computing technology. This position offers the opportunity to collaborate with cross-disciplinary teams and drive advancements in AI-driven products.

• Degree in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field.
• 4+ years of experience with a Bachelor's degree, 2+ years with a Master's degree, or a PhD degree.
• Advanced knowledge in programming languages including C/C++ and Python.
• Solid understanding of machine learning frameworks, including model development and evaluation.
• Hands-on experience in algorithm optimization for CPUs and GPUs.
• Publications in first-tier highly selective international conferences such as NeurIPS, ICML, AAAI, ICLR, CVPR, ICCV, ECCV.

• Develop and implement machine learning models, including supervised, unsupervised, and reinforcement learning algorithms.
• Conduct research and algorithm optimization for CPUs and GPUs to enhance performance and scalability.
• Design and test software components that translate machine learning models and data processing techniques into deployable products.
• Collaborate with cross-disciplinary teams to define technical requirements for AI-driven products and solutions.
• Drive innovation through algorithm research and development in areas such as audio, voice, speech, and vision processing.
• Debug, document, and deploy libraries ensuring robust and efficient software solutions.
• Stay updated on industry trends and advancements in machine learning and artificial intelligence.

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.