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. 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 Health, Climate and Work. 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.
The MIT-IBM Watson AI Lab is seeking students who are currently enrolled in a PhD program for its internship program. Interns 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.
At this time the hope is to have the program in person in which case candidates would need to work in Cambridge, MA. Pursuing a PhD degree in Computer Science, Computer Engineering or a related area is required.
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
Required Technical and Professional Expertise
- Background in computer science, artificial intelligence, applied mathematics or equivalent areas
- 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