Strategy and Operations Lead, AI Engineering in CAMBRIDGE, Massachusetts | DiversityInc Careers
 

Strategy and Operations Lead, AI Engineering

Job Description
Overview
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 focused on three areas: AI Science, AI Engineering, and AI Tech. We’re also working to accelerate AI research 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.

Job Description
The mission of the IBM AI Research/Engineering group is to create AI platforms and technologies that make it easy to build end-to-end AI systems at speed and scale. These systems are designed to create new partnerships between people and machines to augment and scale human expertise in every industry, from healthcare to financial services to education.

We are searching for a strategy and operations lead who has a proven track record in distributed learning platforms, with a depth of expertise in ML or systems engineering who has demonstrated significant technical leadership as well as strong client experience bringing innovation to market and creating commercialization roadmaps. You will be responsible for forming business strategy and driving operations for projects and teams at the crossroads of machine learning, distributed systems, and cloud technologies to build bleeding-edge AI systems. This will entail pushing the frontiers of AI to create a vastly simplified approach to deep learning that is accessible to everyone and democratizes AI. You will interact with the brightest minds in AI and will help bring AI research ideas into scalable, robust learning platforms.

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.

Responsibilities
  • Shape strategy for client and business impact of research assets in the area of AI platforms, working closely with global research and product teams as well as clients.
  • Publish in top-tier conferences and journals, file patent disclosures when appropriate,
  • Run operations for global team of researchers, maximizing effectiveness and external impact
  • Build communities around commercial and open-source products


Required Technical and Professional Expertise

  • Proven background, publication record and experience in one or more of the following areas of AI: machine learning, deep learning, distributed learning platforms, blockchain, distributed systems, cloud.
  • Experience with, large-scale system engineering, distributed systems, cloud, and software engineering
  • Experience with clients, monetizing early-stage technology, C-suite level interaction and presentations, proven track record in product management.


Preferred Tech and Prof Experience

  • PhD in Machine Learning, Artificial Intelligence, Computer Science, Operations Research, Applied Mathematics, or related technical fields
  • Experience in one or more of the following areas: hyper-parameter tuning, applied machine learning, blockchain, automated distributed deployment and scaling technologies such as Kubernetes and Docker.


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.