Pearson Jobs

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Job Information

Pearson Senior Machine Learning Engineer in Boulder, Colorado

Location: Remote - US (prefer Boulder, CO)

Senior Machine Learning Engineer

  • Are you a programming expert with a passion for machine learning and operational delivery?

  • Would you love a job with expectations to keep abreast of the state-of-the art in language processing and apply it?

  • Do you thrive on continuously “moving the performance needle”?

  • Are you a data detective? Do you resonate with going the extra mile to track down anomalies and stomp out defects?

  • Are you excited by the idea of taking ownership of software used by millions of users a year?

Working closely with a small team of experts, we have a unique opportunity for you to play a leading role in migrating machine learning based solutions from R&D to product-level operational delivery. Learn more about what we do here: https://www.pearsonassessments.com/large-scale-assessments/k-12-large-scale-assessments/automated-scoring/automated-scoring--5-things-to-know--and-a-history-lesson.html

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. Our team in Boulder, CO has been building machine learning solutions for educational markets for over two decades.

Required Skills

  • MS or PhD in a quantitative field (CS, EE statistics, math, data science)

  • At least 5 years professional experience as a software engineer or data scientist

  • Experience in natural language processing (NLP)

  • Strong coding & analytics skills including proficiency in python and Linux

  • Track record of producing machine learning models and production infrastructure at scale

  • Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities

  • Passionate about agile software processes, data-driven development, reliability, and systematic experimentation

As required by the Colorado Equal Pay Transparency Act, Pearson provides a reasonable range of minimum compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is $135k -145k. This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.

Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.  

To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here:  http://www.pearson.com/careers/diversity-and-inclusion.html 

Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law.

Job: TECHNOLOGY

Organization: Assessment & Qualifications

Schedule: FULL_TIME

Req ID: 5118

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