Crypto Data Scientist / Machine Learning - LLM Engineer (Global - Remote - Non.US)

Medium; Beaverton (OR); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading AI-based investment firm is seeking a machine learning engineer to optimize their machine learning systems. The role involves designing ML applications, analyzing data sets, and enhancing predictive models. Ideal candidates have a strong background in data science and programming skills in Python and Java, along with hands-on experience in machine learning and AI technologies. This position is full-time and located in Beaverton, Oregon.

Qualifications

• At least two years' experience as a machine learning engineer.
• Advanced proficiency with Python, Java, and R code.
• Experience with LLM fine-tuning.

Responsibilities

• Designing machine learning systems and self-running AI.
• Consulting with the manager to refine machine learning objectives.
• Developing ML algorithms to analyze historical data.

Skills

Data science

Python

Java

R

Machine learning frameworks

Algorithms

Analytical skills

Problem-solving skills

Communication skills

Collaboration skills

Education

Bachelor's degree in computer science

Master’s degree in data science or related

Tools

ML frameworks

Job description

Overview

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

Responsibilities

• 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

About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.