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Pearson Machine Learning Pipeline Engineer in Boulder, Colorado

Machine Learning Pipeline Engineer

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.

Machine Learning Pipeline Engineer in Boulder, Colorado

  • Are you excited by an opportunity to become a lead contributor to our machine learning platform?

  • Are you eager to apply your skills in architecture, design, and coding and make real impacts on student learning and assessment?

  • Are you a continuous learner and creative problem solver interested in improving our machine learning (ML) capabilities from data collection to ML in operations?

  • Do you enjoy working with highly talented engineers building tools for natural language research, robust ML pipelines, and highly scalable cloud operations?

Working closely with a small team of experts, you will have a unique opportunity to learn and play a leading role in a group that has been a leader in our markets applying machine learning since 2004.

The team at Pearson offers a unique environment for extremely skilled and motivated thinkers. Our culture is highly charged with people who are passionate about a cause, using technology to enhance students’ educational experiences.

Boulder, Colorado has been named as the happiest place in the U.S. and it's no surprise with its year-round outdoor activities, a surfeit of sunny days, a laid-back lifestyle, natural beauty that's always within view, ultra-fresh dining and natural foods scenes, the influence of the University of Colorado Boulder, a highly active culture, and enough craft beer to put a smile on anyone's face.

Qualifications

Required Skills and Experience

  • BS in a quantitative field (CS, EE, statistics, math, data science)

  • 5 years professional experience as a software engineer

  • Proven hands-on experience building solutions for large-scale data infrastructures and ML pipelines

  • Expert in Python programming

  • Experience with Linux, AWS (EC2 and serverless), Kubernetes, and Docker

  • Understanding of DevOps practices and tools

  • Exposure to multiple ML frameworks including Scikit-learn, TensorFlow, and PyTorch

Desirable:

  • Experience with large textual datasets and natural language applications

  • Familiarity with ML in the cloud (SageMaker, GCP, Azure ML Studio, TensorFlow Serving, EMR, Redshift, Kinesis Databricks, Snowflake).

  • Ability to work with deep learning libraries on GPU or TPU hosts

  • Mastery of advanced software engineering including languages such as Go, Scala, C , or Java

  • Experience with Pandas and Jupyter notebooks

  • Familiarity with data warehouse and data lake architectures.

#LI-POST

#LI-POST

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-Boulder

Work Locations: US-CO-Boulder-4845 Pearl East 4845 Pearl East Circle Boulder 80301

Job: Research and Development

Organization: Assessments School

Job Type: Standard

Shift: Day Job

Job Posting: Aug 3, 2020

Job Unposting: Ongoing

Schedule: Full-time Regular

Req ID: 2006190

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.

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