SuperAwesome is building a safer internet for the next generation. We’ve pioneered the tech sector for youth audiences: creating solutions that enable brands and developers to engage safely and at scale with kids and teens. SuperAwesome technology powers over 12 billion digital touchpoints with young audiences across rich media and video ads, creator content, social communities, gaming, and parental consent. We are the biggest youth-focused tech team on the planet, solving the challenges of engagement with the under-20 audience. At the intersection of technology, law, media and policy, working with us gives you a chance to shape what the internet of the future looks like. As a part of Epic Games since September 2021, together we’ve opened up a whole new window of opportunity to create responsible, immersive digital experiences for kids and teens. It’s a unique, challenging, and rewarding environment.
What You'll Do
At SuperAwesome, a Machine Learning Engineer’s primary function is to provide support for our engineers that are using machine learning to extract value from the increasing amount of contextual data that we receive in the KidTech space. In this role you’re going to take engineering and ML research techniques and apply them to real world problems, overcoming the obstacles associated with real world data along the way.
The ideal candidate is somebody who has a natural drive to solving challenging problems and won’t give in at the first hurdles. Your days will see lots of coding, analysing and extending our data and using current best practices to produce, iterate on and productionise ML models. You’ll be supported by a cross-functional team on the same mission: making the internet safer for kids, as well as by a powerful technology stack and a broad toolbox of established industry best practices.
Our Machine Learning Platform is Kubeflow and we use the full stack of Pytorch, Jupyter Notebooks, Kubeflow Pipelines and KServe.
We don’t expect you to know our exact stack and you’ll be given training and help during your onboarding to become fully proficient with it.
We expect you to already have a strong engineering background that has translated well to the Machine Learning space and experience in deploying production quality ML models.
In This Role You Will
Work on and improve our Machine Learning platform and processes
Deploy classifiers, models, algorithms and tools to solve real world problems affecting kids’ online data privacy
Work closely with Product Teams and the Data Team to continuously iterate and improve our model metrics
Support people from different backgrounds and roles: Product Managers, Engineers, Customer Success, Sales, investigating how machine learning can provide them with valuable insights
Support machine learning and data driven work in product teams across a variety of domains in the kids space
What We're Looking For
Experience deploying scalable classifiers and models to production environments
Experience working with a programming language of choice (e.g Python) to write high-quality data processing code
Strong systems-level debugging
Good understanding of services lifecycle and development practices
Experience with SQL and/or NoSQL databases
Nice To Have Skills
Experience training machine learning and deep learning models on a computing cluster
Experience with NLP and NLC
Experience building REST APIs for analytics services
Familiarity writing and optimising advanced SQL queries
Good understanding of data pipelines in production e.g. Airflow, Spark
Experience with Kubeflow
Good understanding of Docker, Kubernetes and Terraform
Experience working with big data and data warehousing solutions e.g. Snowflake, BigQuery
Our people are at the heart of what we do and the driving force behind our growth and success. We value individuality and understand the importance of building a workplace where everyone can truly belong. We believe that supporting everyone to be their full selves helps them to reach their potential, that’s why we offer competitive benefits, perks and learning opportunities. We have employee resource groups in place for mental health and DEI helping to ensure everyone can truly be ‘SuperAwesome’, helping us to build a safer internet for the next generation!
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