Research Staff Member

Company: IBM Corporation
Location: San Jose, California, United States
Type: Full-time
Posted: 24.MAY.2021

Summary

Introduction IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, disco...

Description

Introduction

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.

Your Role and Responsibilities

We are seeking a Research Scientist (Research Staff Member) candidate for the Future of Work research group at IBM Research. We are specifically interested in expertise in the topics of machine learning, deep learning, data science and an interest in pursuing Future of Work research problems. The candidate is expected to have a demonstrated publication record in related areas of machine learning, NLP and/or economics.

The group conducts research in developing novel machine learning methods to extract interpretable labor market insights and developing skills similarity, skills depth and skills demand prediction models. As a part of IBM Research, you will conduct world-class research on innovative technologies and solutions and publish in top-tier conferences and journals. You will also contribute to the commercialization of the resulting assets.

Required Technical and Professional Expertise

* Experience in machine learning, NLP, deep learning packages - 2yrs

* Experience in Python and Tensorflow/Keras/PyTorch - 2yrs
* Excellent oral and written communication skills

Preferred Technical and Professional Expertise

* Experience with time-series forecasting or training large language models
* Experience in labor economics, digital economy or public policy

 
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