Senior Software Engineer, ML Developer Experience

We believe that a blockchain-based global economy can improve the lives of billions of people. But the same properties that make cryptocurrencies a force for good — permissionless, programmable, and instantaneous — can also make them susceptible to criminal and fraudulent activity, which causes harm to our financial system at unprecedented speed and scale.At TRM, we're on a mission to build trust in digital assets, because the promise of crypto is too valuable to be impeded by bad actors. We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime. Our vision is to build a company that can sustainably deliver on our mission for decades to come, enabling consumers to transact safely and securely on the blockchain.The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.The impact you will have here:Streamline and automate the TRM machine learning lifecycle, focusing on deploying, monitoring, and maintaining ML models to ensure their efficient and reliable performance in production environments.Collaborate and partner with Data Scientists and Machine Learning teams to accelerate innovation by enabling rapid deployment and iteration of machine learning models, thus fostering a more agile and responsive environment for developing and refining cutting-edge technologies.Reduce the costs associated with experimentation, training, and testing of machine learning models by implementing efficient methodologies and tools that streamline these processes and optimize resource allocation.Play a key role in enhancing the freshness, correctness, and completeness of the Feature Store, and reduce the time to add new features, ensuring that machine learning models are powered by the most accurate, up-to-date, and comprehensive data available.What we’re looking for:Bachelor's degree (or equivalent) in Computer Science or a related field;A proven track record, with 5+ years of hands-on experience in building ML infrastructure, guiding projects from initial ideation through to successful production deployment.Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL;Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink;Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog;Proven ability in loading, querying, and transforming extensive datasets.About TRM's Engineering Levels:Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.The following represents the expected range of compensation for this role:The estimated base salary range for this role is $200,000 - $230,000.Additionally, this role may be eligible to participate in TRM’s equity plan.Please note – we factor in the different costs for geographies outside the United States.

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