Associate, Software Engineer - Intern

Descripción del puesto:

Role: Associate, Software Engineer - Intern
Location: Hybrid / Remote-friendly (team based in Poznań)
Duration: 2 months
Team: C4E AI Platform Enablement
Start: 15 th June
Why join Pearson's intern program?
Pearson is the world's learning company. We help people of all ages acquire the knowledge and skills they need to be successful in their work and careers. We believe that everyone should be able to keep learning, every day and in every way, throughout their lives. Bringing together everything we know about the science of learning and the latest technology, we're shaping the future of teaching and learning.
We're looking for the next generation of talented graduates to join our team for an unforgettable internship. An internship at Pearson is an opportunity to bring your own unique perspective as a learner, together with your academic knowledge, technical skills, and enthusiasm, to help create products that help fix the skills challenges faced by learners, employees, and employers.
As one of our interns, you will gain a comprehensive introduction to our business. You'll be assigned to a team to support real-life projects that bring our products and services to life and are ready to launch to our learners.
We foster a work environment that's inclusive as well as diverse, where our people can be themselves. Every idea and perspective is valued so that our products reflect the people we serve, our teachers and students, employers and employees, and consumers and learners.
Introduction:
We are looking for a motivated Software / AI Engineering Intern to join a team working on internal developer tooling and AI-driven engineering initiatives. The intern will work closely with experienced engineers on hands-on technical tasks related to prototyping, experimentation, and documentation of modern AI-assisted development approaches.
Required qualifications
* Strong Python fundamentals (scripts, notebooks, data handling)
* Understanding of machine learning concepts (training vs inference, metrics)
* Familiarity with Linux / command line
* Interest in cloud platforms and AI infrastructure
Nice-to-have qualifications
* Exposure to AWS, Azure, GCP, and/or Databricks (any one is sufficient)
* Basic understanding of containers or REST APIs
* Ability to write clear technical summaries
* Documented hands-on experience with any of the above (GitHub, stackoverflow, etc.)
What you will work on
Platform research & documentation
* Analyze and document capabilities of AI / MLOps platforms (e.g., Databricks and related tooling)
* Help maintain internal comparison matrices and capability overviews
* Turn technical notes and PoC outputs into clear internal documentation
Experimentation & evaluation support
* Reproduce and extend existing AI platform proof-of-concepts
* Run controlled experiments (training, evaluation, serving) under guidance
* Create evaluation golden datasets
* Collect and summarize metrics such as runtime, cost, and latency
AI observability & benchmarking
* Assist in defining simple evaluation and benchmarking scenarios
* Support preparation of dashboards or reports for model monitoring and observability
* Document gaps between desired and available observability signals
Enablement & onboarding materials
* Contribute to "getting started" guides and reference workflows
* Help create examples showing how teams can use the AI platform end-to-end
* Collect and summarize feedback from early adopters
What you will learn
* Practical MLOps concepts: experiment tracking, model serving, monitoring, vibe-coding platforms
* How to evaluate AI solutions
* How to design developer-facing platforms and internal tooling
* How to communicate technical findings to non-expert stakeholders
* How to use state-of-art AI-based tools for streamlining development
* How large organizations evaluate and adopt AI platforms
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: Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type:
Req ID: 23814
Req Type: Student
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