Senior ML Platform Engineer

Summary

Join TRM Labs, a blockchain intelligence company fighting crime and building a safer world, as an ML Platform Engineer. You will collaborate with a team of experts to design, develop, and deploy AI-driven solutions for blockchain intelligence. This role involves building and enhancing AI/ML model performance, ensuring data accuracy, building low-latency pipelines for real-time AI applications, and integrating new AI technologies. You will also optimize operational costs, collaborate with cross-functional teams, and help embed AI models into applications and platforms. This is a high-impact role for someone passionate about innovation and contributing to a safer financial system. TRM Labs is a remote-first company with a global team.

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

Responsibilities

• 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

Preferred Qualifications

Interest in virtual currencies, applications, and their use in financial networks and blockchain analysis is a plus

Benefits

• PTO
• Holidays
• Parental Leave for full time employees
• Remote work