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Lemon.io | Canada | $48k - $110k |
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This job is closed
We are an infrastructure protocol for AVSs on EigenLayer to automate and optimize their restaker payments. In order to achieve this, we model the security needs of an AVS to determine the Profit from Corruption (PfC), how much value is at risk, and Cost of Corruption (CoC), how much value secures the protocol. This is used to allow AVSs to understand their security levels and plan to optimize them with our protocol. The responsibility for this role is to model the formulas for calculating the PfC and CoC. Formalizing the calculations requires understanding the underlying protocol mechanics and scenario implications.
Responsibilities
Lead and drive innovative research to understand how different actors in the crypto market behave and interact.
Create precise formulas for calculating CoC and PfC for a variety of AVSs.
Create simulations to test and stress test these formulas
Build data models and visualizations of simulation results that provide intuitive analytics to customers.
Requirements
2+ years of professional experience in Data Science
Previous experience in FinTech or DeFi domains
Solid understanding of machine learning techniques and algorithms
Hands-on experience with Python and relevant data science packages
Must have hands-on experience in model development, production-grade implementation, and performance monitoring.
Broader understanding of crypto and blockchain ecosystem - Advantage
Prior web3 experience using Dune or writing smart contracts - Advantage
MSc+ in Statistics, Computer Science, Mathematics, or equivalent quantitative field - Advantage
This is a fully remote and full-time role.
Compensation: $200k/year base + equity + token allocation.
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.