Java Web3 Jobs in North America

The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.

ML Engineers are embedded in our blockchain analytics teams within Engineering. This team partners with research and investigation teams, helping mastermind the algorithms and models that solve cases ranging from Twitter hacks to bringing down one of the largest child abuse networks in the world. ML Engineers in the Data Intelligence group have a deep understanding of various protocols, are experts at identifying transaction patterns, develop new techniques to analyze blockchain data and participate in complex investigations if needed. We measure success by the insights we can surface to our customers about the activity on a given blockchain and the accuracy of those insights.

In one year you’ll know you were successful if…

• You have earned the ins and outs of our blockchain analysis techniques
• Developed new techniques and algorithms that are used in production
• Conducted complex investigations that resulted in success for our customers
• Have become an expert in analyzing one or more blockchains
• Contributed to the effectiveness and velocity of team deliverables

A background like this helps:

• A solid understanding of graph models, algorithms, analysis, and frameworks
• Proven experience with running batch and streaming based analytical models in production
• Understanding of efficient data structures, algorithms and computational complexity
• Planned, built, and owned production systems
• Experience with Python, Pandas, and SQL
• The versatility and willingness to learn new technologies on the job
• The ability to clearly communicate complex results to technical and non-technical audiences
• Bias for action

The following would differentiate you:

• Deep understanding of one or more blockchains from both a protocol and data perspective
• Experience with statistical analysis on real world datasets
• Experience with big data technologies like Hadoop or Spark
• Build and deployed production models using frameworks like Keras, TensorFlow, and/or PyTorch
• Experience with graph traversal and computation
• Data Visualization experience using matplotlib, ggplot, bokeh, d3.js etc
• Experience with Java and/or Scala

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