Machine Learning Engineer at HackerRank working on integrity systems to improve model quality. Collaborating on strategies for new signals like audio analysis and behavioral anomalies.
About the role
- Senior Machine Learning Engineer developing and integrating solutions for MoonPay's payments platform. Supporting fraud prevention and collaborating across teams in Fintech.
Responsibilities
- Build and integrate ML solutions for evaluating transactions and customers’ behaviour in real-time and offline environments
- Support multiple Crypto products with tailored ML solutions to prevent fraudulent activities
- Experiment with various modeling techniques on our customer data and see your solution through to production by partnering cross-functionally with product, data, operations, and engineering teams
- Analyze large datasets using SQL, Python and Apache Beam to surface features
- Help build AI-powered automation tools or pipelines and propose improvements across the company
- Own the full lifecycle of ML solutions: data ingestion / processing → feature engineering → model development → deployment → iteration
- Maintain and improve our existing codebase, expanding our internal ML libraries and pipelines
Requirements
- Experienced in Machine Learning at leading Fintech startups or fast growing tech companies
- Confident in developing, releasing and maintaining ML models in a fast paced, iterative environment
- Experienced with some of our tech stack, or are confident you can cross train and up skill quickly
- Real world experience working with time series data for classification, counterfactual reasoning and adversarial models
- Understand data structures, pipelines and big data processing for real-time consumption
- Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure
Benefits
- Competitive salary package
- Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay
- Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards
- Moonshot award. We honor exceptional impact - 10 employees twice a year, each earning a $250,000 equity grant.
- Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)
- Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
- Private Healthcare benefits: To protect you and your loved ones
- Enhanced parental leave: So you can spend more time with your loved ones without a second thought
- Annual training budget: We support your training journey every step of the way
- Home office setup allowance: Create the home office of your dreams
- Remote working allowance: Those working fully remotely get a little extra for utilities
- Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN
- Employee referral programme: Great people know great people, refer them to receive 10K in USDC
- Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons
- Working in a disruptive and fast-growing company where excellence is rewarded
Job title
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Degree requirement
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Machine Learning Engineer developing integrity systems for assessing model quality at HackerRank. Collaborating on multimodal signal processing and improving model performance.
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