Crypto Data Scientist / Machine Learning Engineer
Description For Crypto Data Scientist / Machine Learning Engineer
Token Metrics, a pioneering company in the cryptocurrency investment space, is seeking a talented Machine Learning Engineer to join their team. The company specializes in helping crypto investors make informed decisions through AI-powered analytics, serving customers in over 50 countries from individual traders to fund managers.
The role focuses on optimizing machine learning systems and enhancing predictive models' accuracy. As a Machine Learning Engineer, you'll be at the forefront of developing and implementing sophisticated ML algorithms that power the company's crypto investment analysis platform. Your work will directly impact the quality of investment recommendations and predictive models used by clients worldwide.
The ideal candidate should have a strong foundation in machine learning, demonstrated by at least two years of hands-on experience and advanced proficiency in Python and Java. You'll need to be comfortable working with complex data sets, performing statistical analysis, and optimizing ML frameworks. Experience with LLM fine-tuning and observability is particularly valuable for this position.
This remote position offers an exciting opportunity to work at the intersection of artificial intelligence and cryptocurrency, two of the most dynamic fields in technology today. You'll be part of a team that's pushing the boundaries of how AI can be applied to financial markets, particularly in the crypto space.
The role requires both technical expertise and strong soft skills, as you'll be collaborating with team members to refine ML objectives and document processes. Your work will directly contribute to helping investors build profitable portfolios through AI-based crypto indices, rankings, and price predictions.
Working at Token Metrics means being at the forefront of applying machine learning to cryptocurrency markets, with the opportunity to impact how investors worldwide make their investment decisions. If you're passionate about machine learning, cryptocurrency, and want to work on challenging problems that directly impact investment decisions, this role offers an excellent opportunity to advance your career while working with cutting-edge technology.
Responsibilities For Crypto Data Scientist / Machine Learning Engineer
- 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 and optimizing existing machine learning libraries
- 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 For Crypto Data Scientist / Machine Learning Engineer
- 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
Jobs Related To Token Metrics Crypto Data Scientist / Machine Learning Engineer
