- Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale
- Researching new graph-native technology to evaluate the benefit to data science and data engineering teams at TRM
- Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features
- Understanding and refining TRM's risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses
- Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists
- Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs
- Your academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
- You have strong knowledge of algorithm design and data structures, and have experience applying this knowledge towards real-world problems.
- You have experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases.
- You have experience converting academic research into products and have worked with research teams that regularly ship new features.
- You have strong programming experience with Python and SQL.
- You are an excellent communicator skilled at tailoring explanations of complex topics to technical and non-technical audiences.
- You are delivery-oriented. You are able to lead and execute new features start to finish.
- You are autonomous and own what you work on. You move fast and get things done.
- You are knowledgeable of basic graph theory concepts.
- You are knowledgeable of cryptocurrencies and blockchain theory
- Familiarity with advanced graph theory concepts including graph neural networks, graph node embedding algorithms, maximum flow algorithms, random walk algorithms, etc.
- Experience working with graph databases and/or distributed databases
- Experience working with Spark and Airflow
- 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.
- 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
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Senior Software Engineer - San Francisco, CA, United States - TRM Labs
Description
[Full Time] Senior Software Engineer - Graph Analytics at TRM Labs (United States) | BEAMSTART Jobs
Senior Software Engineer - Graph Analytics
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
6+ years
Remote Work
Yes
Stock Options
No
Vacancies
1 available
At TRM, we're on a mission to build a safer financial system for billions of people around the globe. Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
As a Senior Software Engineer on the Graph Analytics team, you will build scalable graph systems that analyze large networks of cryptocurrency transactions. You will collaborate closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. In the position, you will have the opportunity to leverage your experience working with distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. You will also collaborate with data science teams to identify opportunities to apply graph theory tools and techniques to various predictive learning problems.
Your responsibilities will include:
Some of the traits we value:
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. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
To accomplish our mission, we have raised nearly $80M from JPMorgan Chase, Visa, Citi, PayPal, Block, Tiger Global and Bessemer. Our team is made up of world class experts from the FBI, U.S. Secret Service, US Treasury Department, McKinsey, Coinbase, and top-tier tech companies.
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
Our Employee Benefits
We encourage you to reach out even if your experience doesn't precisely match the job description. Do not worry about picking exactly the right job; we can always explore other options after starting the conversation. Your passion and interests will set you apart, especially if your background or career is unconventional. Join us
About TRM Labs TRM is building a safer financial system for billions of people.
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