Cash | Machine Learning Engineer | Melbourne
vor 4 Wochen
The Risk AI team's mission is to develop cutting-edge deep learning-based signals and learned representations for Risk ML models.
Our focus is on exploring, developing, and implementing state-of-the-art (SOTA) alternatives to traditional feature-based machine learning methods.
By leveraging the latest advancements in AI, we aim to enhance real-time evaluation pipelines used by the Risk ML team to detect and prevent fraudulent transactions and activities.
Cash App holds people's money, and maintaining customers' trust is absolutely essential to our brand.
Preventing scams and fraud is a major component of building that trust.
The Risk AI team is at the forefront of this effort, utilizing SOTA approaches to drive innovation and protect our users from emerging threats.
You Will Design, build and maintain Machine Learning systems that enable us to flag fraudulent activities in real-time Work hand-in-hand with ML Modellers to identify and integrate new data sources, heuristics and models Solve challenging technical problems at scale, collaborating with colleagues located across the globe Own your solutions from design through to operation: we all share the pager
Lead the conception, design, and implementation of large-scale experiments to validate novel ideas rapidly and comprehensively Apply the latest theoretical advancements to enhance existing products, processes, and technologies, ensuring they remain at the forefront of the industry Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis Take the lead in designing systems, data structures, frameworks, and evaluation metrics for research solution development Conduct experiments aligned with research inquiries, employing simulations and prototypes to assess the outcomes You Have ~8 years of Software Engineering + some professional ML experience A track record of solving business problems with technology and proven experience successfully taking ownership of an end-to-end solution Have led complex, multi-person projects Work autonomously in a fast-paced, ambiguous and unpredictable environment Be naturally curious & eager to learn Work creatively, taking initiative and leading when required Grow your solutions, maintaining and fixing them as necessary Communicate via clear and concise writing to facilitate asynchronous collaboration across multiple time zones Reason about complex, distributed systems at high scale Proficiency in machine learning techniques, experimental design and data engineering Strong programming skills in languages such as Python, TensorFlow, or PyTorch.
Technologies We Use and Teach Python, Java, Kotlin Onnx/PyTorch, LightGBM/XGBoost We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer.
We work hard to evaluate all employees and job applicants consistently, without regard to identity or other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.
We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Block is a globally distributed company and this role will require working with other employees in multiple time zones.
You may be required to perform work outside of normal business hours as part of this role.
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