AI Engineer

at  Pearson

Sydney, New South Wales, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate30 Apr, 2025Not Specified31 Jan, 20254 year(s) or aboveGood communication skillsNoNo
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Description:

Our Team: Workforce Skills – We provide upskilling and reskilling that ensures people can thrive in a digital, automated future. Faethm is a SaaS platform that uses artificial intelligence to help prepare people for the future of work and was acquired by Pearson in 2021. Workforce Skills is the newest division at Pearson with ambitious and exciting plans for growth.

About the role: Reporting to our Lead Engineer, you will work alongside Faethm’s AI and Backend Engineers to solve interesting technical challenges and implement our product roadmap. To give you a sense of our work, we have designed and implemented systems like:

  • large scale on-demand GPU clusters with Machine Learning / NLP pipelines to extract billions of data points from job ads within a few hours
  • deep learning and LLM based based learning content recommendation system
  • libraries and APIs for bleeding edge transformer-based NLP model pipelines
  • high-concurrency, low-latency analytics environment across 7 geographic regions to serve enterprise customers all over the world

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 Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are 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. We strive for a workforce that reflects the diversity of our communities.
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.
Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
Job: RESEARCH AND DEVELOPMENT
Organization: Workforce Skills
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 18144

Responsibilities:

AS A BACKEND ENGINEER IN AI SYSTEMS, YOU’LL BE RESPONSIBLE FOR:

  • Build RESTful APIs and micro-services for compute heavy and data intensive Machine Learning models
  • Design and build highly scalable AI backends using Python, AWS, MongoDB, and Postgres
  • Support the consumption of Faethm’s APIs and data outputs by other teams and organisations
  • Drive code quality by facilitating code reviews within the team and ensuring that our engineering practices are followed in relation to testing, security and monitoring
  • Work closely with data scientists and product managers to understand the needs of the customer and our business so that you can build the right features

TO BE SUCCESSFUL IN THIS ROLE, YOU WILL IDEALLY HAVE:

  • BS, MS, or PhD in Computer Science, Software Engineering, or related fields
  • 0-4 years of experience in a software engineering role
  • Practical experience in Python, including at least one web application framework like FastAPI, Django, or Flask
  • Knowledge of SQL and/or NoSQL database technologies
  • Familiarity with micro-services, and containerization
  • Understanding of distributed systems and scalability
  • Understanding of Artificial Intelligence, Machine Learning, and Big Data Concepts
  • Interest in Natural Language Processing, Embeddings, Large Language Models, and Recommendation Systems
    Our tech stack: Python, FastAPI, PyTorch, AWS, MongoDB, Postgres, Databricks, Kubernetes, Terraform
    Our purpose: At Pearson we ‘add life to a lifetime of learning’ so everyone can realise the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact.

About the role: Reporting to our Lead Engineer, you will work alongside Faethm’s AI and Backend Engineers to solve interesting technical challenges and implement our product roadmap. To give you a sense of our work, we have designed and implemented systems like:

  • large scale on-demand GPU clusters with Machine Learning / NLP pipelines to extract billions of data points from job ads within a few hours
  • deep learning and LLM based based learning content recommendation system
  • libraries and APIs for bleeding edge transformer-based NLP model pipelines
  • high-concurrency, low-latency analytics environment across 7 geographic regions to serve enterprise customers all over the worl


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - System Programming

Software Engineering

Graduate

Proficient

1

Sydney NSW, Australia