About Ferocia
We’re the team behind Up, but under the hood, we’re Ferocia - a passionate tech company driven by financial inclusion. Since 2011, we’ve been crafting cutting-edge financial tools, starting with the digital platform for Bendigo Bank. We believe technology can empower everyone, from the advantaged to the disadvantaged, which is why Up was born. Now, as part of the Bendigo and Adelaide Bank family, we combine the agility of a small company with the reach and stability of a major player. We’re carbon neutral, community-focused, and dedicated to high standards of corporate governance. Our mission is to leverage technology to help Australians move from financial stress and anxiety to a place of confidence and empowerment.
Want to join us? We’d love to hear from you.
The role
We’re looking for a mid-to-senior level Machine Learning Engineer to build, deploy, and scale the models and systems that power Up. This includes creating intelligent features in the Up app, as well as developing systems to automate internal processes, increase the efficiency of customer support, and forecast business impact. You’ll be joining a small team of Data and ML Engineers, tasked not just with using our data platform, but expanding its capabilities to encompass ML training, inferencing, and model deployment. Our focus is on using our rich data to build intelligent systems that will improve the financial lives of our customers and enhance how we serve them.
This is a rare opportunity to join our small but growing Data & ML team and have an outsized impact on the future of Up, Australia’s highest-rated banking app. Backed by Bendigo Bank, we operate with the speed of a startup and the scale of an established institution.
Impact
The role’s impact goes far beyond training models in a notebook. You’ll own and automate the end-to-end lifecycle of ML models, taking them from initial concept through to production systems that serve millions of customers:
- Play a key role in moving our ML capabilities forward, helping us transition from infrequent, manual training to fully automated, continuously monitored systems.
- Pivotal in the development of our MLOps practices and tooling, ensuring our models are robust, reliable, and easy to maintain.
- At the forefront of our natural language processing initiatives, deriving value from unstructured text data. This includes building and maintaining an embeddings store, training classification models, and fine-tuning transformers.
- Help scale ML-powered features to cater for Up’s ever-growing customer base. Features include intelligent customer chat routing and fraud detections.
- Play a vital role in the entire lifecycle of ML projects, taking on significant responsibility in designing, building, and delivering solutions.
- Design and implement robust solutions for real-time model serving with low latency and for detecting and mitigating model drift.
What tools we use
Experience with some or all of these tools is beneficial. We’ll provide space to learn what you don’t know already:
- Google Cloud as our cloud platform; data in BigQuery and Postgres; applications run on Kubernetes; managed with Terraform.
- Dagster to orchestrate data ELT and manage the full ML lifecycle from training to deployment.
- Python and SQL; PyTorch for custom models; we also use off-the-shelf models when appropriate.
- Strong software engineering fundamentals to build robust and maintainable ML systems.
What skills you’ll bring
- Experience managing the full lifecycle of machine learning models—from data acquisition and feature engineering to training, validation, deployment, and monitoring in production.
- Strong viewpoint on good ML systems design, emphasizing reproducibility, testing, and maintainability. Good communication skills are key.
- Experience building and operating the infrastructure that supports ML systems, including CI/CD pipelines and serving infrastructure. NLP experience (embeddings and transformer tuning) is a big plus.
- Intrinsic motivation to collaborate and share knowledge with engineers, helping raise the bar for building intelligent systems.
- Understanding of how ML can automate processes across the organization, develop new personalised features for Up’s customers, and provide future insights.
Working at Ferocia
We have a hybrid work culture; we value in-person collaboration and are currently hiring in Melbourne (or adjacent areas) as we still value physically getting together at least a half-dozen times per year.
We offer:
- A small team of passionate people
- Generous leave and parental policy
- Flexible working schedule
- Great city office and perks (rooftop, gym and personal trainer, games)
- Budget for personal development, training, and conferences
- Employee Assistance Program via Sonder
- Home loan rebates for our loans (conditions apply)
- Ongoing equity grants (conditions apply)
Not quite ticking every box? Throw your hat in the ring anyway! At Ferocia, we’re all about diversity and inclusion, and we encourage you to step up and shine.
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