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It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has grown into a dynamic ecosystem with products including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save for our 50+ million monthly active customers. We want to redefine the world's relationship with money to be more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally, with a culture geared toward innovation, collaboration and impact. We’re distributed from day one, and many roles can be done remotely. Regardless of location, we tailor to ensure employees are creative, productive, and happy.
The Role
Machine Learning is an integral part of how we design products, operate, and pursue our mission to serve the unbanked and disrupt traditional financial institutions. Our scale and transaction data create opportunities to use ML and AI to better understand customers and offer new products and experiences. We are a creative group that solves problems from first principles, moves quickly, makes incremental changes, and deploys to production daily.
As part of the Risk ML team, you will build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with state‑of‑the‑art algorithms, drive down false positives, collaborate on features to reduce fraud losses, analyze emerging fraud patterns, engineer current features for risk models, and deploy robust models to act on bad activity in real time.
This role can work remotely from anywhere in Australia or New Zealand, or from our offices in Melbourne, Sydney and Auckland.
You Will
- Be responsible for building machine learning models to detect and act against fraudulent activity, research emerging fraud patterns, and lead/participate in cross-functional initiatives to tackle problems.
- Collaborate cross-functionally with engineering, product, and operations teams across Australia and the United States (Melbourne and San Francisco) to keep customers and their money safe.
- Work closely with ML Engineering teams who build the systems that allow models to operate at scale and in real time.
- Contribute to the growth of modelling capabilities through mentoring and supporting fellow modellers.
- Exercise a high level of autonomy and responsibility, owning solutions from design through to operation.
You Have
- Bachelor's degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning. Masters or PhD preferred.
- 3+ years of experience in machine learning, artificial intelligence, or a related field.
- Strong knowledge of machine learning algorithms and data analysis techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Technologies We Use
- Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
- MySQL, Snowflake, Tableau, Mode
- GCP/AWS
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact
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All benefits are designed to empower you to do your best work while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are among our offerings.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each brand unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming how customers manage spending over time. TIDAL is a music platform that empowers artists. Bitkey is a self-custody wallet for bitcoin. Proto is a suite of bitcoin mining products and services. We’re helping build a financial system that is open to everyone.
Note: This description reflects our current job posting and may be updated as the role and requirements evolve.
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📌 Senior Machine Learning Engineer (Modeling), Risk
🏢 Cash App
📍 Toowoomba