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Machine Learning Principal Architect Job

BNY Mellon

Date: Dec 20, 2014

Location: Palo Alto, CA, US


Machine Learning Principal Architect (Job Number: 1407139)

BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations or individual investors, BNY Mellon delivers informed investment management and investment services in 35 countries and more than 100 markets. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. Additional information is available at www.bnymellon.com.

Client Technology Solutions provides our business partners with client-focused, technology-based solutions. These enhance their ability to be successful through world-class software solutions and leading-edge infrastructure. Client Technology Solutions provides employees with the tools and resources to enhance their professional qualifications and careers.

Description

BNY Mellon Innovation Center Silicon Valley (ICSV) is currently seeking Machine Learning Architects to join our quickly growing team. The ICSV is a startup within an enterprise, focused on applied research that can be quickly brought to market as production services and new financial services products. BNY Mellon is the worlds leading provider of financial services technology, and current business operations provide a wealth of fascinating business opportunities and requirements, as well as terabytes of the worlds most interesting data science challenges. Help us revolutionize global financial services!


Responsibility and Experience

You will lead the design and implementation of machine learning and decision science algorithms for big data environments on some of the worlds most interesting and most valuable data, biggest data sets, and on some of the hardest data science problems yet tackled.


Experience and Skills:

  • Advanced expert programmer in systems language such as C++ or Java

  • PhD or equivalent experience in statistics, pure or applied math, electrical engineering, theoretical science, or machine learning

  • Expert level experience in designing and applying statistical and machine learning models and methods

  • Deep experience with one or more of:

  • Decision Trees

  • Random Forrest

  • Deep Learning or Random Forests

  • Hidden Markov Sequencing

  • Bayesian statistics

  • Predictive Analytics

  • Search

  • Neural Nets
  • R Programming
  • Scripting of data model loads and transforms, and computational processes, using Python, Javascript, Perl, or similar language, on large noSQL data stores

  • Experience with large multi-programmer projects delivering to cloud operational models

  • Experience setting up data science programs allowing script-level programming to manipulate data models and run A/B experiments - Excellent spoken and written English 



Qualifications

Preferred:

  • Published research papers
  • Experience with enterprise architectures and standard enterprise tools
  • Advanced understanding of distributed system architectures in Java
  • Hadoop and Map/Reduce experience is a strong plus 



BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer.
Minorities/Females/Individuals With Disabilities/Protected Veterans.


Primary Location: Palo Alto, CA, US
Other Location: ,,
Internal Jobcode: 04610
Job: Information Technology
Organization: Global Ops & Tech Mgmt Div-HR08865


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
Job Segments: Programmer, Research, Java, Developer, Cloud, Technology