[Full Time] Machine Learning Engineer at TRM Labs (United States)
Machine Learning Engineer
TRM Labs United States
Date Posted: 31 Oct, 2022
Work Location: San Francisco, United States
Salary Offered: Not Specified
Job Type: Full Time
Experience Required: 3+ years
Remote Work: Yes
Vacancies: 1 available
Science is at the core of TRM's mission to build a safer financial system for billions of people. To achieve such goal, the Blockchain Intelligence team relies on a diverse set of structured and unstructured data to design, build, and support heterogeneous models to detect and prevent fraud and financial crime in cryptocurrencies and digital assets.
As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
Your responsibilities will include:
- Apply statistical and machine learning methods to solve large scale problems, including the full modeling lifecycle (e.g. data manipulation, building and evaluating models, interpreting and effectively communicating results, transitioning solutions to production, performance monitoring, recalibrating models, etc.).
- Collaborate on complex and technical work with effective communication to develop quantitative strategies.
- Communicate with and advocate to a wide audience of engineers, managers, and executives to inform decisions on how TRM's capabilities evolve.
- Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues.
Some of the traits we value:
- Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics, or Physics. Advanced degree preferred.
- You have 2+ years of experience working within an engineering role.
- You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
- You have working knowledge of relational databases (e.g. SQL).
- You have practical experience with and theoretical understanding of algorithms for classification, clustering, network analysis, and anomaly detection.
- You have experience architecting and developing solutions to ambiguous problems with significant impact.
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
- You are delivery-oriented, able to lead and execute modeling efforts from start to finish.
- You have excellent verbal and written communication skills and experience in influencing decisions with information.
Preferred qualifications:
- You have engineered information out of massive and complex datasets (e.g. Hive, Spark, Druid, Elasticsearch/Solr).
- You know about cryptocurrencies and blockchain theory.
About TRM:
TRM Labs is a blockchain intelligence company that helps financial institutions, crypto businesses, and government agencies detect and investigate crypto-related financial crime and fraud. Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS.
TRM is a remote-first workplace, with hubs in San Francisco, Washington, DC, and London. We are looking for people with grit, passion, and humility to join our global team.
Our Values:
- Impact Oriented Trailblazer - We define high-impact targets through customer centricity, prioritization, and adaptability.
- Master Craftsperson - We execute efficiently to achieve goals through good judgment, velocity, and grit.
- Inspiring Colleague - We elevate team performance through integrity, apprenticeship, and positive energy.
Our Employee Benefits:
- Remote-first work environment, with optional in-person offices.
- Regular team off-sites and retreats.
- Competitive salaries and stock options.
- Premium health, dental, and vision insurance.
- FSA, HSA, and 401K programs.
- Life & disability coverage.
- Paid time for vacations, volunteering, sick leave, and generous parental leave.
- Fitness, co-working, and home office reimbursements.
- Professional learning and development stipends.
We encourage you to reach out even if your experience doesn't precisely match the job description. Join us!
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