Research Engineer (ML Pipelines) - Crypto Hedge Fund

Research Engineer needed for rapidly growing Crypto Hedge Fund backed by some of the world's most prominent investors!

  • New York, NY
  • $300,000 - $600,000
  • Managed by Jobot Pro: Colin Callahan
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A bit about us:

Based in NYC, we are FAST growing and well-established systematic, research-driven Crypto hedge fund that is backed by some of the highest profile investors in all of TradFi and Crypto! We are a team of the brightest, most distinguished professionals in the field, many of whom have published widely cited works in peer reviewed journals and we have earned the confidence of not only the aforementioned investors, but a consortium of the most influential partners and advisors as well. Our performance has been excellent, we are seeding multiple large funds, and we are developing winning strategies across every component and all layers of the Crypto ecosystem. We have doubled in size in the last quarter and we are not slowing down any time soon!

Currently, we are looking for an exceptional Research Engineer with experience building ML pipelines from the ground up to join us. If you are looking to become part of an incredibly exciting, growing fund with virtually unlimited upside, we want to speak with you right away!

Why join us?

1. Phenomenal compensation package including equity opportunities
2. Work with a tight-knit, all-star team and the brightest minds in the space.
3. Incredible growth potential!

Job Details

We are looking for talented engineers experienced in cloud native research infrastructure (running large machine learning/modelling jobs on AWS), and experience in building systems for the training and evaluation of ML and mathematical models.

Responsibilities:

  • Building and validation of ETL pipelines and large amounts of data (in Airflow)
  • Building databases with unique sources of data from a variety of sources
  • Building infrastructure and systems for analyzing and modelling large amounts of data
  • Writing mathematical and quantitative libraries in C++ and Python for data analysis and financial analysis
  • Working with the quant researcher on quant tasks

Required:

  • Strong experience building Machine Learning/Deep Learning pipelines from the ground up
  • Strong experience building large scale ETL pipelines
  • Distributed Systems
  • Python
  • AWS
  • Undergraduate Degree in a STEM field such as Computer Science, Mathematics, or Physics.

Nice to Haves:

  • C++
  • Ray
  • Airflow
  • PyTorch (or similar)
  • Parallel Programming
  • Graduate STEM Degree

Easy Apply Now
Easy Apply Now
Job Details
Managed by Jobot Pro
Location
New York, NY
Job Type
Permanent
Compensation
$300,000 - $600,000