Principal Research Scientist

IBM Corporation Yorktown Heights , NY 10598

Posted 3 weeks ago

Introduction

IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.

Your Role and Responsibilities

IBM Research is seeking a highly skilled and motivated AI Scientist/Engineer with expertise in PyTorch to join our team. In this role, you will be responsible for developing, training, and deploying sophisticated machine learning models. You will collaborate with a cross-functional team to translate business requirements into robust AI solutions, ensuring high performance and scalability.

Roles and Responsibilities:

  • Develop, train, and optimize machine learning models using PyTorch.

  • Collaborate with cross-disciplinary teams to understand requirements and formulate AI-driven solutions.

  • Implement state-of-the-art algorithms and contribute to the development of our AI platform.

  • Evaluate and improve the performance of machine learning models.

  • Stay abreast of latest developments in AI and machine learning, especially in PyTorch.

  • Prepare and present findings to both technical and non-technical stakeholders.

  • Contribute to the codebase ensuring best practices in software development.

Required Technical and Professional Expertise

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.

  • Proficient in Python and PyTorch with a minimum of 3 years of hands-on experience.

  • Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.

  • Excellent problem-solving skills and the ability to think critically and analytically.

  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Technical and Professional Expertise

  • Experience with other deep learning frameworks (e.g., TensorFlow, Keras).

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.

  • Experience with big data technologies (e.g., Hadoop, Spark).

  • Contributions to open-source machine learning projects.

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