As the world’s learning company, Pearson helps people make more of their lives through learning. We use our knowledge, passion, and reach to tackle the big problems in education and inspire a love of learning that lasts a lifetime. That's why we need smart people like you. Together, we can transform education and provide boundless opportunities for billions of learners worldwide.
The Automated Assessment team develops machine learning-based software systems that analyze tens of millions of learner exam responses each year. Our technology is unique and meaningful, providing results quickly on student performance on standardized tests. The information helps inform teaching and learning for educators, students and parents.
As a Senior Software Developer, you will:
Design, develop and deploy software components in a machine learning pipeline.
Contribute to the development of student assessments data management components - providing efficient access for developing new assessment techniques while maintaining strong data security and privacy.
Evaluate open-source and commercial platforms for the use, development and operation of machine learning models.
Develop tooling and infrastructure to support ML engineers and data scientists with model experimentation and deployment.
Work with ML scientists to transition research prototypes into robust, scalable and cost-effective software solutions.
Preferred Qualifications
Strong software engineering skills in complex, multi-language systems
Python development experience
Familiarity with machine learning
Experience working with cloud computing (AWS)
Experience working with SQL and NoSQL database systems
Experience building custom integrations between cloud-based systems using APIs
Experience writing backend APIs
Experience developing with containers and Kubernetes in cloud computing environments
Experience developing service-oriented architectures
Great collaboration skills
Experience that will set you apart:
High-volume, server-side application development
Go Development
AWS expertise
Hands-on Kubernetes
Microservice architectures
Design of REST or Graph QL APIs
Docker expertise
Education and Experience
Bachelors or Masters degree and/or equivalent professional experience
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. 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. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: TECHNOLOGY
Organization: Assessment & Qualifications
Schedule: FULL\_TIME
Workplace Type: Remote
Req ID: 19297
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