Post-Doctoral Researcher, Artificial Intelligence

Job description

IBM Research is the innovation engine of IBM. Nearly every game-changing breakthrough in the information technology industry has its roots in an IBM Research lab. It has been a home for creative scientific minds since 1945, when Thomas J. Watson Sr. established the first corporate pure science research lab in the U.S. We are primed to define the future of technology for many years to come specifically around the world of Artificial Intelligence. We believe AI will transform the world in dramatic ways in the coming years – and our Research AI group is advancing the field through our portfolio of research and through collaboration with like-minded institutions including MIT (MIT-IBM Watson Lab - http://mitibmwatsonailab.mit.edu ) and individuals to push the boundaries of AI faster – for the benefit of industry and society.

Description

The IBM Research – Visual AI Lab is looking for post-doctoral researchers who are as passionate as we are about Artificial Intelligence (AI), advancing science, and inventing the next generation of intelligent machines. At IBM Research, we diligently craft a work environment that inspires brilliant and thoughtful work. We have an ambitious AI research agenda, and we are hiring researchers to join our projects in the following areas:
·  Machine learning
·  Deep neural networks, reinforcement learning, brain-inspired algorithms, learning to learn, interpretability, explainable AI, optimization, learning with memories, temporal modeling
·  Knowledge representation and reasoning (KRR)
·  Automated knowledge base construction, symbolic and trainable logic, reusable representations, causal inference, knowledge induction, statistical relational AI
·  Natural language processing (NLP)
·  Large-scale knowledge extraction, NL understanding, NL generation, question-answering
·  Computer vision and multimedia comprehension
·  Novel system
·  Neuromorphic, quantum computing
·  Optimization and acceleration of cloud-based AI and machine learning systems As an IBM Post-Doctoral Researcher, you get to work on the most cutting-edge and exciting projects and interact with the brightest minds. 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.

081583

Auto req ID

183758BR
Required Education

Doctorate Degree
Role ( Job Role )

Research Scientist
State / Province

MASSACHUSETTS
Primary job category

Research
Company

(0147) International Business Machines Corporation
Contract type

Fixed Term - Long Term
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

Research
Preferred Education

None
City / Township / Village

CAMBRIDGE
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.
Required Technical and Professional Expertise

·  PhD in Computer Science, Machine Learning, Artificial Intelligence, Physics, Applied Mathematics, or related technical fields
·  Expertise and experience in programming in one or more of these languages: Java, Python, C, C++
·  Advanced skill level in solving analytical problems using rigorous and quantitative approaches
Skill-keywords

Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Reinforcement Learning, Generative Models, Machine Reasoning, Data Analytics, Data Science, Knowledge Extraction and Representation, Machine Vision, Natural Language Processing, Statistical Relational Learning
Country/Region

United States
Preferred Technical and Professional Experience

·  Advanced skill level with standard machine learning techniques and frameworks including but not limited to: Tensorflow, Caffe, (Py)Torch, Keras
·  Experience analyzing large scale data from a variety of sources
·  Design, validation, and characterization of algorithms and/or systems
·  Contributing to open source projects
Secondary Job Category

Research Staff
Eligibility Requirements

·  None
Position Type

Early Professional
Early Professional Track

Industry Early Professional