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At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
YOUR ROLE AND RESPONSIBILITIES
Start and end dates for this Internship are during Summer 2022 (3 months). At IBM Research, we invent things that matter to the world. Today, we are pioneering the most promising and disruptive technologies that will transform industries and society, including the future of AI, Blockchain and Quantum Computing. We are driven to discover. With more than 3,000 researchers in 12 labs located across six continents, IBM Research is one of the world’s largest and most influential corporate research labs.
Current focus areas include pioneering work in: cognitive computing and augmented intelligence; quantum computing; blockchain; data-centric systems; advanced analytics; security; radical cloud innovation; next-generation silicon (and beyond); and brain-inspired devices and infrastructure. We have many internships available and are seeking highly motivated students with a background in computer science, artificial intelligence, applied mathematics or equivalent areas. Candidates currently enrolled in graduate programs are encouraged to apply. The ability to work independently with latest tools in these focus areas highly desired.
The work location will be one of the following:
Yorktown Heights, New York
San Jose, California
Albany, New York
Austin, Texas REQUIRED TECHNICAL AND PROFESSIONAL EXPERTISE
Advanced knowledge of software engineering practices including agile processes
PREFERRED TECHNICAL AND PROFESSIONAL EXPERTISE
- Advanced usage of machine learning environments (e.g., R, scikit-learn, Theano, Torch, etc.)
- Advanced experience in Data Mining/Automated Knowledge Acquisition, Representation & Reasoning
- Advanced experience in characterization and validation of cognitive systems via User studies.
- Basic knowledge of electromagnetic wave (EM) properties
- Basic knowledge of quantum theory
- One year engineering background
- Demonstrated written and verbal communication skills