Senior Machine Learning Engineer

New York City, New York | Remote

Applications have closed

Chainalysis

Chainalysis helps government agencies, cryptocurrency businesses, and financial institutions engage confidently with cryptocurrency.

View company page

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

 

#LI-BD1 #LI-Remote

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.

  

By submitting this application, I consent to and authorize Chainalysis to contact my former employers, and any and all other persons and organizations for information bearing upon my qualifications for employment.  I further authorize the listed employers, schools and personal references to give Chainalysis (without further notice to me) any and all information about my previous employment and education, along with other pertinent information they may have, and hereby waive any actions which I may have against either party(ies) for providing a reference.  I understand any future employment will be contingent on the Company receiving satisfactory employment references.

Chainalysis COVID-19 Policy - USA

All employees are required to have or obtain a COVID-19 vaccination as a condition of employment at Chainalysis, unless an exemption has been approved. All employees shall be required to report their vaccine status. All new employees shall be required to provide proof of their vaccination status prior to the start of their employment.  

Chainalysis COVID-19 Policy - EMEA
As an employer, Chainalysis is obliged to ensure a healthy and safe working environment. This means that we must try to prevent the coronavirus from spreading inside the workplace and all employees are obliged to follow the local regulations issued by the relevant health authorities.  

  • To help support a safe work environment, we encourage all employees in EMEA to get fully vaccinated against COVID-19.
  • Employees will not be required to attend an event or in-person customer meeting. 
  • Employees in the EU and the UK are allowed to travel internationally for internal meetings to any country deemed “green or amber” by the EU and the UK authorities. All attendees for Chainalysis in-person events or meetings will be required to adhere to the following guidelines:  
    • International travel will only be permitted if you receive approval from both your manager and Executive Leader
    • You must familiarize yourself and comply with any screening/safety protocols imposed by the entity/individual hosting the in-person meeting or event
    • You must comply with any and all safety guidelines and travel restrictions established by applicable law  
    • If you are in close or proximate contact with others at the event/customer site and test positive for COVID-19, you must immediately notify the People Team and avoid contact with others for 10 days

Chainalysis COVID-19 Policy - APAC
With circumstances changing on a regular basis and parts of our APAC team going in and out of mandatory lockdown, APAC will continue to follow country legislation and guidelines.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Blockchain D3 Data visualization Engineering Hadoop Keras Machine Learning Matplotlib Pandas Python PyTorch Research Scala Spark SQL Statistics Streaming TensorFlow

Perks/benefits: Career development Health care Startup environment Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  21  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.