Software Engineer - AI-powered Automation Intern: 2025
Company
IBM
Location
US Yorktown Heights
Type
Full Time
Job Description
At 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
This is for a 2025 summer internship with the following start dates: May – August or June – September for quarter system schools.
At
Today AI systems are enabling businesses to personalize services converse with customers automate operations optimize workflows predict demand and recommend next best actions. A common thread to our ambitious AI and watsonx Research agenda is to understand how AI systems and algorithms can be designed responsibly and produce effective outcomes to their enterprise users.
In your role as a Research Software Engineer you will interact with the brightest minds in AI and will help transform AI research ideas into scalable robust systems that solve real-world problems and help us advance our research and development agenda on
You have a proven interest and experience in implementing innovative software solutions and applications. In your role as AI Research Software Engineer you will work in close collaboration with other researchers and engineers to create maintain and support world-class applications and/or infrastructure in support of our research and development agenda on
Required Technical and Professional Expertise
- Applicants should be BS students
- Programming skills in
Python Java C++ /C etc. - Backend storage technologies such as
SQL and Non-SQL database s (Postgre sMongo DBCloud antElasticSearch etc.) - Experience in
Kubernetes CI/CD tools and operatorsIBM Cloud andma training pipelineschi ne learning - Software engineering practices including
agile techniques - System building/debugging/testing skills
Preferred Technical and Professional Expertise
-
Ma engineering: creating training pipelines and evaluating models using toolkits such aschi ne learningPyTorch Tensorflow andscikit -learn. - Experience in web application development and
framework s including HTML CSS andJava Script JQuery React Flask Node.js etc. - Qualitative and quantitative user research and user-centric design
- Solving analytical problems using rigorous and quantitative approaches
- Analyzing large scale data from a variety of sources
- Previous experience publishing scientific results e.g. at
NeurIPS IC ML ICLR IJCAI ACL AAAI KDD CHI IUI CSCW or similar
Date Posted
10/04/2024
Views
0
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