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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