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Research Staff Member, Probabilistic Programming

  • Country:US
  • State:NY
  • City:YORKTOWN HEIGHTS
  • Category:Research
  • Required Education:Bachelor's Degree
  • Position Type:Early Professional
  • Employment Type:Full-Time
  • Contract Type:Regular
  • Req ID:132789BR
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Job Description
Are you interested in shaping the future of AI? IBM is looking for research scientists who are as passionate as we are about artificial intelligence, advancing science, and inventing the next generation of intelligent machines. In the AI Programming Models team, we work on programming-language innovation that makes AI practitioners more productive, including probabilistic programming, compilers, web-based productivity and collaboration tools, type systems, and notebooks. We have an ambitious AI research agenda, and we are hiring researchers to join our projects in the above-mentioned areas.

As an IBM Researcher, you get to work on the most cutting-edge and exciting projects and interact with the brightest minds. The four key dimensions of an IBM Researcher's contribution are IBM impact, external impact, leadership, and teamwork. We want to bring out the best in you and expect you to do the same to us. Your proactive approach to creative problem solving will be essential to the success of our team and the company.

Required Technical and Professional Expertise

  • Expertise and experience in programming in one or more of these languages: Java, Python, C, C++, JavaScript, TypeScript
  • Advanced skill level in solving analytical problems using rigorous and quantitative approaches
  • Advanced skill level in creating and leveraging AI techniques, such as machine learning, probabilistic programming, NLP, knowledge induction, machine reasoning
  • Experience communicating your research in technical communities, such as publications in NIPS, AAAI, PLDI, ICSE, or similar


Preferred Tech and Prof Experience

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical fields
  • Advanced skill level with standard machine learning techniques and frameworks, such as PyTorch, TensorFlow, scikit-learn, etc.
  • Experience implementing compilers, runtime systems, integrated development environments, etc.
  • Experience analyzing large-scale data from a variety of sources
  • Design, validation, and characterization of algorithms and/or systems
  • Contributing to open source projects


EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Preferred Education: Doctorate Degree Commissionable: No
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