Senior/Staff Machine Learning Engineer - eCommerce Fraud Detection
Rokt, Australia
Job Description
Rokt is the global leader in eCommerce technology, helping companies seize the full potential of every transaction moment to grow revenue and acquire new customers at scale. Live Nation, AMC Theatres, PayPal, Uber, Hulu, Staples, Lands’ End, and HelloFresh are among the more than 2,500 leading global businesses and advertisers that use Rokt's solutions to drive more value through every transaction by offering highly relevant messages to their customers at the moment they are most likely to convert.
With our December 2022 secondary transaction, Rokt’s valuation increased to $2.4 Billion. We are expanding rapidly and globally operating in 14 countries across North America, Europe and the Asia-Pacific region with the largest office in Sydney and a major Ramp;D hub in NYC. With 50% annual growth and vibrant company culture, Rokt has been listed in ‘Great Places to Work’ in the US and Australia. Our award-winning culture is guided by our eight core values: smart with humility, own the outcomes, force for good, conquer new frontiers, enjoy the ride, raise the bar, communicate with impact, and disagree then commit. These values help us attract, engage, and develop the right talent around the globe and ensure we foster an environment that helps us all do our best work. Keen to join a fast-growing company and a vibrant culture? Learn more at rokt.com.
The Rokt engineering team builds best-in-class eCommerce technology that provides personalised and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which gives engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are expanding rapidly in our major Ramp;D centres in NYC and Sydney. We are passionate about using intelligent systems to improve the transaction moment for retailers everywhere. Come join us and build the future!
As a Senior/Staff Machine Learning Engineer specializing in fraud detection at Rokt, you will utilize your deep understanding of machine learning and software engineering to develop and implement cutting-edge machine learning models specifically designed to combat fraudulent activities. Working closely with our engineering and product teams, you will be instrumental in designing robust machine-learning solutions to tackle complex business challenges related to fraud detection, such as anomaly detection, pattern recognition, and risk scoring. Your expertise will contribute significantly to enhancing the accuracy, efficiency, and scalability of our fraud detection systems, ensuring that our clients can safeguard their transactions and protect their businesses from fraudulent behaviour.
- Collaborate closely with product managers and other engineers with a strong background in fraud detection to understand business priorities, identify machine learning challenges specific to fraud detection, and architect innovative machine learning solutions tailored for fraud prevention.
- Build and deploy advanced machine learning models, including developing robust data preparation/processing pipelines and orchestrating machine learning workflows, all geared towards improving the performance and reliability of our fraud detection services.
- Ensure the highest quality of the code base by implementing comprehensive tests that provide extensive functional coverage, as well as conducting load testing, unit testing, integration testing, and other non-functional testing approaches.
- Stay abreast of emerging technologies and trends in fraud detection, continuously researching and exploring state-of-the-art deep learning models. You will have the opportunity to prototype new modeling ideas and conduct both offline and online experiments to validate their effectiveness in detecting fraudulent activities.
- Actively share your expertise and knowledge with the team by leading discussions, giving informative sessions like brown bags and tech talks, and promoting best practices in technology and engineering, specifically related to fraud detection.
- Mentor and guide fellow team members, fostering their growth and development. Facilitate workshops within and across teams, encouraging collaboration and leading the agile development process to ensure efficient and effective execution of fraud detection initiatives.
Requirements
- Bachelor’s degree in Computer Science, a similar technical field of study, or equivalent practical experience.
- 3+ years of industry experience in successfully developing and implementing production-grade machine learning systems, specifically dealing with fraud detection in marketing or e-commerce. You should possess compreh