Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess a quantitative academic background in fields like Computer Science, Statistics, Engineering, Economics, or Physics, with an advanced degree being preferred. A minimum of 4 years of experience in an analytical role is required, along with proven proficiency in at least one programming language, preferably Python, and experience with team development tools like git, notebooks, and testing. Familiarity with relational databases and SQL is also necessary, as is a strong understanding of statistical distributions and a robust analytics toolbox for pattern identification.
The Senior Data Scientist will lead the development of advanced machine learning and statistical models to detect patterns and anomalies in cryptocurrency fraud and financial crime, creating custom models, algorithms, and interactive visualizations for law enforcement agencies. Responsibilities include collaborating with engineers and research scientists on algorithm design for analyzing complex blockchain data, establishing best practices for data-driven decision-making, and staying current with developments in blockchain technology and financial crime.
Blockchain intelligence for financial crime detection
TRM Labs focuses on blockchain intelligence to assist financial institutions, cryptocurrency businesses, and government agencies in identifying and investigating financial crimes and fraud related to cryptocurrencies. The company utilizes advanced data engineering, data science, and threat intelligence to provide tools and insights that help clients combat illicit activities in the crypto sector. TRM Labs serves a wide range of clients, including banks and regulatory bodies, and generates revenue through subscription-based services and customized solutions. Its goal is to enhance the security and integrity of the global financial system by offering comprehensive blockchain analytics and investigative capabilities.