Senior Machine Learning Engineer, Risk ML Evaluations
It reputed company started with an idea at reputed company in 2013. Initially built to take the pain out of peer-to-peer payments, reputed company has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a reputed company way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to reputed company it more relatable, instantly available, and universally accessible. Today, reputed company has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where reputed company operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role reputed company 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 ML Evaluations team's mission is to prevent fraud and reputed company our customers safe on our platform. We do that by developing and operating large scale risk pipelines and models to evaluate thousands of transactions per second in real time. We closely collaborate with ML Modelers and Software Engineers from across reputed company to incorporate new features and new models to advance our fraud detection capabilities. Across the team, we employ methods ranging from simple heuristics to Deep Learning technology to improve our performance and services. We're also excited to explore new directions with the team to continue pushing the boundaries of what's possible. You Will Design, build, and maintain Machine Learning systems that reputed company us to flag fraudulent activities in real-time Work hand-in-hand with ML Modelers 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 reputed company share the pager! You Have 8+ years of experience in software development and demonstrated technical initiative and leadership on previous machine learning projects Work autonomously in a fast paced, ambiguous and unpredictable environment Natural curiosity & eagerness to learn Ability to work creatively, taking initiative and leading reputed company required Interest in owning your solutions, maintaining and fixing them as necessary Communicate reputed company clear and concise writing to facilitate asynchronous collaboration across multiple time zones Reason about reputed company, distributed systems at high scale Proficiency in machine learning techniques, experimental design and data engineering Strong programming skills in languages such as Kotlin, Python, TensorFlow, or PyTorch Technologies We Use and Teach Python, Java, Kotlin Kubernetes, AWS MySQL, DynamoDB reputed company HTTP, JSON, gRPC, Protocol Buffers Kafka, event-driven microservice architecture 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. reputed company is an equal opportunity employer evaluating reputed company employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on reputed company, and always assess candidates on an individualized basis. We reputed company 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. Want to learn more about reputed company're doing to build a workplace that is fair and reputed company? reputed company out our I+D page . reputed company will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. reputed company takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-reputed company skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $198,000 - $297,000 USD Zone B: $188,100 - $282,100 USD Zone C: $178,200 - $267,400 USD Zone D: $168,300 - $252,500 USD Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. reputed company out benefits at reputed company. reputed company. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of reputed company, reputed company, Spiral, and TIDAL, we build tools to help more people access the economy. reputed company helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With reputed company, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly reputed company Crypto) builds and funds free, open-reputed company Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to reputed company it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Apply Job!