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2023 Intern Research – MIT-IBM Watson AI Summer Intern

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.

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Key Job Details

Country/Region: US

State: MULTIPLE

City: Multiple Cities

Category: Research

Required Education: Bachelor’s Degree

Position Type: Intern

Employment Type: Full-Time

Contract Type: Internship

Company: (0147) International Business Machines Corporation

Req ID: 595657BR

Travel Required: Some travel may be required based on business demand

Your Role and Responsibilities
The MIT–IBM Watson AI Lab is seeking students for its 2023 internship program. Interns will join small teams working on cutting edge research projects in areas such as artificial intelligence, machine learning, quantum computing, security and more. We have many internship positions available and are seeking highly motivated students with relevant background and proven research experience who can work independently with the latest tools in these focus areas

Candidates should have basic knowledge in one or more of the following skills:
Background in computer science, artificial intelligence, applied mathematics or equivalent areas

Candidates must be willing to work in any of the following locations:
Cambridge, MA or Yorktown Heights, NY

Required Technical and Professional Expertise
• Strong programming skills in one or more commonly used languages such as: Java, JavaScript, Python, C++, Etc.
• Proven Research Experience
• Strong communication Skills

Preferred Technical and Professional Expertise
• Experience with machine learning environments (e.g., R, Scikit–learn, Theano, PyTorch, etc.)
• Experience in working as part of a research and development team
• Background in engineering