Software Engineer - AI Backend

Job description
Role: Software Engineer - AI Backend

Company: Pearson

Division: Workforce Skills

Location: Hybrid - Sydney, New South Wales (Australia)

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:

deep learning and LLM 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
large scale on-demand GPU clusters with Machine Learning / NLP pipelines to extract billions of data points from job ads within a few hours

 

As a Software Engineer, you’ll be responsible for: 

Building RESTful APIs and micro-services for compute heavy and data intensive Machine Learning models
Designing and build highly scalable AI backends using Python, AWS, MongoDB, and Postgres
Supporting the consumption of Faethm’s APIs and data outputs by other teams and organisations
Driving code quality by facilitating code reviews within the team and ensuring that our engineering practices are followed in relation to testing, security and monitoring
Working 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 equivalent experience
2-4 years of experience in a software engineering role
Professional 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, 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.  

 

Our company:  Pearson was founded in 1844 and has been built on our ability to grow with and adapt to a constantly evolving market. Our 20,000+ employees are dedicated to creating the high-quality, digital-first, accessible and sustainable resources for lifelong learning.  

 

Diversity:  At Pearson we value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced as strengths and opportunities are equal and accessible.  

 

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, ****** 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.