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Pearson Apprentice, Machine Learning Engineer in California

Apprentice, Machine Learning Engineer - ( 2110130 )

Description

We are the world’s learning company with more than 24,000 employees operating in 70 countries. We combine world-class educational content and assessment, powered by services and technology, to enable more effective teaching and personalized learning at scale. We believe that wherever learning flourishes so do people.

At Pearson, we’re committed to a world that’s always learning and to our talented team who make it all possible. By embracing a massive digital transformation that includes highly experiential and personalized learning, we are always re-examining and continuously improving the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who are mission-driven and motivate each other to explore new frontiers in an environment that supports and inspires us to always be better.

We are currently looking for a Machine Learning Engineer (MLE) Apprentice to work with our new and existing learning product platforms. The Apprentice will work as part of a team across product and engineering teams to build real-time adaptive and personalized learning services that optimize learner interactions and behavior to allow more efficient and effective study and engagement. 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.

Qualifications

Responsibilities:

  • Build relationships with product, engineering, educational efficacy and research teams across Pearson’s learning products and platforms to create an effective product roadmap

  • Improve the overall learner experience and engagement using ML techniques and tools, through existing and new project

  • Understand and evaluate problem-solution fit for both algorithms and systems and work the team to ensure effective and efficient solutions

  • Communicate effectively and frequently to internal teams and our technology and product stakeholders to improve quality, advance standards, and handle issues

Qualifications:

  • Masters or PhD (preferred) in a quantitative field (CS, engineering, statistics, math, physics, chemistry, etc)

  • Good understanding of database structures, SQL and working with complex data models in big data environments in AWS or Google Cloud

  • Great at analyzing and understanding complex problems and systems and being able to critique and contribute to its outcome

  • Currently participating in the NC State University AI Academy Program.

Preferred:

  • Experience in at least one these programming languages: Python, Scala, Java, C

  • Experience in one or more of the following areas: recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

Note that that the role duration is Aug 2, 2021 - July 4, 2022.

Primary Location : US-NC-Durham

Other Locations : US-California

Work Locations :

US-NC-Durham-5425 Page Churchill

5425 Page Road

Durham27703

Job : Project/Temporary Workforce

Organization : Technology & Operations

Employee Status : Regular Employee

Job Type : Apprenticeship

Job Level : Entry Level

Shift : Day Job

Travel : No

Job Posting : Jul 15, 2021

Job Unposting : Ongoing

Schedule: : Part-time Regular

Req ID: 2110130

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