Senior or Staff ML Platform Engineer

At TRM, we're on a mission to leverage AI and machine learning to build sophisticated intelligence solutions that provide unique insights and actionable data in the blockchain space. As an ML Platform Engineer, you will work alongside a multidisciplinary team of blockchain experts, data scientists, and software engineers to design, develop, and deploy AI-driven solutions that push the boundaries of what's possible in blockchain intelligence. The ML Platform Team has been established from the ground up, bringing together engineers dedicated to enabling data-driven AI and machine learning applications. This role is ideal for someone passionate about innovation and eager to contribute to an emerging field, giving TRM a competitive edge in its next phase of innovation and growth.

The impact you’ll have here:

• 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

What we’re looking for:

• 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.