Crypto Data Scientist, Machine Learning - LLM Engineer Intern

Job not on LinkedIn

October 15

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

👨‍🎓 Internship

⚪️ Entry-level

📊 Data Scientist

🦅 H1B Visa Sponsor

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Token Metrics

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Finance • Artificial Intelligence • Web 3

Token Metrics is a cryptocurrency investment research firm that leverages artificial intelligence and machine learning to provide detailed insights on over 6,000 crypto and NFT projects. This company offers a suite of automated products designed to optimize cryptocurrency investment journeys, including analytics platforms and AI-driven tools. Token Metrics helps investors make informed decisions by offering real-time data, analytics, investment strategies, and educational resources in the volatile world of cryptocurrencies. Their cybersecurity team ensures robust security measures are in place to protect client data and privacy.

11 - 50 employees

Founded 2017

💸 Finance

🤖 Artificial Intelligence

🌐 Web 3

📋 Description

• Consulting with the manager to determine and refine machine learning objectives. • Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. • Transforming data science prototypes and applying appropriate ML algorithms and tools. • Ensuring that algorithms generate accurate user recommendations. • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. • Developing ML algorithms to analyze huge volumes of historical data to make predictions. • Stress testing, performing statistical analysis, and interpreting test results for all market conditions. • Documenting machine learning processes. • Keeping abreast of developments in machine learning.

🎯 Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field. • Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous. • At least two years' experience as a machine learning engineer. • Advanced proficiency with Python, Java, and R code. • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. • LLM fine-tuning experience and working with LLM Observability • In-depth knowledge of mathematics, statistics, and algorithms. • Superb analytical and problem-solving abilities. • Great communication and collaboration skills. • Excellent time management and organizational abilities. • Experience with crypto or web3 projects