Senior Data Scientist, TRM Labs
Model Engineering
$170-195k
5 days a week in office
Blockchain investigations & risk management
Open for applications
Blockchain investigations & risk management
201-500 employees
Open for applications
$170-195k
5 days a week in office
201-500 employees
Company mission
To build a safer financial system for billions of people.
Role
Who you are
- You have 4+ years of experience working in a data science role, with demonstrated expertise in machine learning and data science
- Strong fluency with Python and SQL, with proven experience developing code in team environments (git, notebooks, testing)
- Strong background in data science, experimental design, and hypothesis testing
- Experience evaluating and building LLMs, embeddings, knowledge graphs, and information retrieval systems
- Familiarity with ML/AI methods (NLP, RLHF, embeddings) to analyze and improve agent behaviors
- General familiarity with ML/AI Ops and production system monitoring
- Ability to analyze large, multi-modal datasets (text, logs, graphs, APIs) for actionable insights
- Strong ownership mentality and comfort with uncertainty - ability to translate ambiguous intelligence questions into measurable evaluation frameworks
- History of taking strong ownership over systems and delivering value at high velocity
- Curiosity and drive to get to the root cause of problems, with evidence of creativity and self-directed work in ambiguous spaces
- Building and delivering Agentic/LLM systems with active users would raise the bar (industry experience preferred, but hobby or open source contributions valued, given the emerging nature of the technology)
What the job involves
- As a Senior Data Scientist on the AI Engineering team, you will drive the development and deployment of sophisticated machine learning and LLM models that power TRM's AI Engineering platform
- Working closely with engineers, data scientists, and research scientists, you will build cutting-edge AI systems that help analysts detect, prevent, and mitigate cryptocurrency fraud and financial crime
- Your work will focus on creating intelligent agent systems and evaluation frameworks that enable seamless interaction with complex blockchain data. These tools will be consumed by prestigious entities such as former FBI, Secret Service, and other law enforcement agencies, providing them with unprecedented capabilities to investigate evolving criminal activities in the cryptocurrency space
- Design and deploy sophisticated ML/LLM models that accomplish impactful customer needs within TRM’s AI Engineering platform
- Develop robust catalogs of evaluation sets and observability tools for ML/LLM models to ensure reliable performance in production environments
- Monitor for data drift, concept drift, and emerging failure modes in production AI systems serving critical law enforcement use cases
- Leverage embeddings, retrieval, and ranking methods to improve agent tool selection and enhance the product experience for analysts
- Build models and analyses that optimize orchestration of multi-agent workflows, enabling complex investigative tasks through natural language interactions
- Stay up-to-date on state-of-the-art model and system design, easily implementing modern architecture patterns to serve external users
- Translate vague infrastructure and product requirements into measurable, data-driven metrics and evaluation frameworks
- Collaborate with engineers and research scientists to design agentic systems that analyze complex blockchain data structures, cryptographic protocols, and transactional patterns
- Create evaluation frameworks that measure the effectiveness of AI agents in helping investigators navigate blockchain data and identify suspicious activities
- Establish best practices for LLM evaluation, prompt engineering, and AI system monitoring
- As a globally distributed team, members may observe different time zones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration
- All team members, regardless of location, must have at least 4 hours of overlap with PST business hours
- The team is involved in 2 different on-calls:
- Analytics on-call: only requires focus on working time (average of < 1 hour a day every month)
- Data Science on-call: full week on-call to ensure Data Science pipelines are running smoothly (average of 1-2 hours a day every 3 months)
Our take
The crypto space has become more mainstream but it is also intensely volatile and poorly regulated, with a high degree of anonymity afforded to its users. As such it has become a major source of financial fraud with $20 billion in crypto stolen in 2022 alone. TRM Lab exists to return trust to the blockchain, helping banks, government agencies and crypto companies detect and combat fraud with its blockchain intelligence solutions.
As the risk of blockchain fraud is only increasing, with the proceeds often being used for organized crime, there are a number of companies working in this space. TRM stands out with the breadth of its crypto asset coverage and the strength of its cross-chain analytics. It has partnered with the FBI and Europol to aid its investigations, and is also used by major crypto companies MoonPay and Binance.
The company has grown its revenue by almost 500% year on year since its founding in 2018, and has raised a significant amount of capital. With the funding its secured, its further developing its product and hiring additional talent. And as businesses and government agencies increasingly come to grips with fraud in the crypto space, TRM is well poised to continue its rapid growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Nov 2022
$70m
SERIES B
Dec 2021
$60m
SERIES B
Total funding: $150.1m
Company benefits
- DIstributed, not distant
- Competitive compensation package
- Paid time off: 25 days of vacation and competitive holistic paid time off plans
- Parental leave & family planning: 18 weeks of paid parental leave (if employed for at least 180 days unless the home state or country required less tenure). For select eligible regions, we also offer fertility treatments via the Carrot platform
- Health coverage: Premium coverage for medical, dental, vision and life insurance
- Company retreats
- Career growth
Company HQ
SoMa, San Francisco, CA
Leadership
Esteban Castaño
(Co-Founder & CEO)Former Business Analyst at McKinsey & Company. Founded the Digital team at Generation, a high growth youth employment program, before launching TRM in 2018.
Rahul Raina
(Co-Founder & CTO)Former Senior Business Analyst at McKinsey & Company. Former Software Engineer at Amazon Web Services and Opendoor.
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