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Senior Machine Learning Engineer

Remote @Chainalysis in Engineering
  • Post Date : 21/09/2022
  • Apply Before : 21/10/2022
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Job Detail

  • Job ID 221707
  • Working Hours Full-time

Job Description

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.

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

At Chainalysis, we help government agencies, cryptocurrency businesses, and financial institutions track and investigate illicit activity on the blockchain, allowing them to engage confidently with cryptocurrency. We take care of our people with great benefits, professional development opportunities, and fun.

You belong here. 

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Juneteenth, Harvey Milk Day, and International Migrant’s Day, and a commitment to continue revisiting and reevaluating our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. Additionally, if you need any accommodations to make our interview process more accessible to you due to a disability, don’t hesitate to let us know. You can learn more here. We can’t wait to meet you.

Applying from the EU? Please review our Candidate GDPR Notice.

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