TL;DR

Crypto Data Scientist (Machine Learning/LLM): Developing and optimizing machine learning systems and AI predictive models with an accent on LLM fine-tuning and crypto data analysis. Focus on designing ML algorithms, statistical analysis, and improving AI software accuracy in a remote internship setting.

Location: Remote (Houston, TX)

Company

%hirify_global% helps crypto investors build profitable portfolios using AI-based crypto indices, rankings, and price predictions, serving customers worldwide.

What you will do

Consult with management to refine machine learning objectives.
Design ML systems and AI to automate predictive models.
Transform prototypes and apply ML algorithms and tools.
Ensure algorithms generate accurate user recommendations.
Solve complex problems with multi-layered data sets and optimize ML libraries.
Document ML processes and stay updated on ML developments.

Requirements

Must be able to work remotely from Houston, TX or elsewhere.
Bachelor's degree in computer science, data science, mathematics, or related field.
At least two years of experience as a machine learning engineer.
Advanced proficiency in Python, Java, and R.
Experience with LLM fine-tuning and observability.
Experience with crypto or web3 projects.

Culture & Benefits

Remote internship opportunity.
Exposure to cutting-edge AI and crypto technologies.
Collaboration with a diverse, global team.