Cognitive Research Scientist ( SME ), Cognitive Computing

8 - 10 years experience  • 

Salary depends on experience
Posted on 05/22/18
Austin, TX
8 - 10 years experience
Salary depends on experience
Posted on 05/22/18

The Cognitive Research Scientist will partner with other researchers to explore, innovate and advance the fields of artificial intelligence, machine learning, deep learning, and natural language processing for financialservices.   This role will consult for engineering teams and lines of business to guide opportunities for exploitation.   This role will also represent State Street at relevant AI conferences and in partnerships with academia.


Research and innovate the application of artificial intelligence technologies to financial services use-cases.

Engage with lines of business, users and analysts to explore and prototype opportunities and use-cases exploiting data and the application of cognitive and machine learning technologies.

Create detailed prototypes to prove out ideas and apply to abstracted current and future business problems

Collaborate with development teams to drive prototypes into production use

Collaborate with and consult for development teams working on the design, development, testing and support of Cognitive microservices

Work with academia to foster joint partnerships to enhance State Street’s current and future business imperatives


PhD,  preferably with specialization in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, or Natural Language Processing

7+ years related experience

Compelling work experience and contributions can be substituted for educational requirements

Experience in any of the following is highly desirable:

  • Prior experience in a Research & Development capacity
  • Solid portfolio of novel contributions, designs, prototypes and innovations
  • Data Science and Machine Learning Frameworks (“R”, Apache Spark / MLlib, TensorFlow, Scikit-learn, etc…)
  • Natural Language Processing (NLTK,  CoreNLP, Gensim, Spacy, etc...)
  • Experience with Big-Data technologies and cloud (AWS, other)
  • Linux / Bash scripting
  • Relational databases (Oracle, PostgreSQL, MySQL, etc.)
  • Agile development methodology
  • CI/CD Development environments and tools (GIT, Maven, Jenkins, etc.)


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