Senior ML Platform Engineer

February 20

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TRM Labs

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TRM Labs is a company that delivers blockchain intelligence to detect crypto-facilitated crime and ensure compliance and safety worldwide. Their services include forensics, tactical transaction monitoring, wallet screening, and know-your-entity solutions. TRM Labs supports government agencies, financial institutions, and crypto businesses globally by providing blockchain investigations and risk management solutions to combat fraud and financial crime. They are trusted by leading organizations to help prove crypto cases in court and build safer financial systems.

Anti-money laundering • Blockchain analysis • Transaction monitoring • Crypto compliance • Blockchain forensics

51 - 200 employees

🔒 Cybersecurity

💸 Finance

💰 $70M Series B on 2022-11

📋 Description

• Build and enhance AI/ML Model Performance • Ensure data accuracy, consistency, and reliability, leading to better model training and inferencing • Build low latency high throughput pipelines to enable real-time AI applications • Enable AI-powered insights for quick decision-making • Integrate and evaluate new AI technologies, accelerating innovation • Help optimize operational costs while adding value • Collaborate with data science, engineering, and business teams to shift focus on model building instead of data wrangling by embedding AI models into applications and platforms

🎯 Requirements

• Write high-quality code. We mostly work in Python. However, languages can be learned: we care much more about your general engineering skill than knowledge of a particular language or framework. • Versatility. Experience across the entire spectrum of data engineering, including: • Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j) • Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm) • Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink) • Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog) • Loading, querying and transforming large data sets • AI and ML Integration tools like MLflow, Feast, ONNX, Apache Beam • You're comfortable working with noisy, dirty, and unstructured data to cleanse, scrape and convert it into structured data • A high degree of initiative and ownership, combined with the ability to navigate ambiguity and adapt quickly to change. • Exceptional ability to structure problems and identify the most critical issues to prioritize. • Ability to communicate complex ideas effectively to both technical and non-technical audiences, verbally and in writing. • Experience working collaboratively in a cross-functional environment with a diverse group of people at all levels in an organization • Passion for building a safer financial system for billions of people. • Interest in virtual currencies, applications, and their use in financial networks and blockchain analysis is a plus.