Pearson Sr. Machine Learning Engineer in Centennial, Colorado

Sr. Machine Learning Engineer

Description

Pearson has one defining goal: to help people progress in their lives through learning. We champion innovation and we invest in models for education that deliver on our promise for effective, accessible, and personal learning from early literacy, college and career readiness to professional education, through data informed instruction and inventive applications for mobile and digital learning.

Pearson, the world's leading learning company, has global-reach and market leading businesses in education, business, and consumer publishing and is listed on the London and New York stock exchanges (UK: PSON; NYSE: PSO). For more information, visit www.pearson.com.

The Personalized Learning and Analytics team (PLA) in Pearson is responsible for software development of analytics and machine learning platforms. PLA is growing and we are looking for a new team member. Together with a highly multi-disciplinary team of engineers, scientists, strategic partners, product managers and subject domain experts you will work on building solutions powered by big data. You will work on a best-in-class cloud computing platform, with cutting edge big data tools at your disposal while having access to experts in education, engineering and data science.

Pearson is an Equal Opportunity and Affirmative Action Employer, and a member of E-Verify. All qualified applicants, including minorities, women, veterans, and people with disabilities are encouraged to apply.

Qualifications

RESPONSIBILITIES:

  • Develop scalable data processing pipelines

  • Collaborate with other scientists and engineers to find effective solutions to technical challenges

  • Provide input for product road maps

  • Work closely with engineers to build, test, deploy and troubleshoot machine learning / algorithm based software

QUALIFICATIONS:

  • MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field

  • Demonstrated mastery in communication of technical ideas to non-technical audiences

  • Ability to translate customer goals into practical engineering solutions

  • Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, ANN’s, etc.

  • Passion for learning (new problem domains, algorithms, tools etc) and for analyzing data

  • Strong programming skills with fluency in at least one of Python, R, Java, Scala, C/C

  • Familiar with industry standard software engineering practices.

  • Working knowledge of Unix/Linux systems

  • Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL or map-reduce techniques

  • Familiarity with libraries such as Spark ML, Tensor flow, scikit-learn (or others like H2O, Databricks)

PREFERRED QUALIFICATIONS:

  • 5 years of industry experience in engineering, data science or related areas

  • Experience with working on large data sets, especially with Hadoop and Spark

  • Experience with distributed databases such as MongoDB, HBase, Cassandra etc

  • Experience with cloud computing platforms such as AWS

  • Experience with data visualization tools such as Tableau, D3.js

#LI-TM

Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.

Primary Location: US-CO-Centennial

Work Locations: US-CO-Centennial-2154 East Commons 2154 East Commons Avenue Centennial 80122

Job: Engineering

Organization: Technology & Operations

Employee Status: Regular Employee

Job Type: Standard

Shift: Day Job

Job Posting: Jul 16, 2018

Job Unposting: Ongoing

Schedule: Full-time Regular

Req ID: 1810390

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled