Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Crypto Data Scientist / Machine Learning - LLM Engineer Intern at Token Metrics
Houston, Texas, United States
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
CryptocurrencyIndustries
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 (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
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
- Evaluating existing machine learning (ML) processes
- Performing statistical analysis to resolve data set problems
- Enhancing the accuracy of AI software's predictive automation capabilities
Skills
Python
Java
R
LLM fine-tuning
LLM Observability
ML frameworks
data structures
data modeling
software architecture
statistics
algorithms
machine learning
statistical analysis
Token Metrics
Cryptocurrency investment platform using machine learning
About Token Metrics
Token Metrics is a cryptocurrency investment platform that uses machine learning to help users identify profitable investment opportunities and avoid scams. It offers services like cryptocurrency reviews, price predictions, and in-depth analysis, catering to both novice and experienced investors. The platform operates on a subscription model, providing access to premium features such as a private investor group and webinars. The goal of Token Metrics is to make crypto investing more accessible and less risky for its clients.
Austin, TexasHeadquarters
2018Year Founded
$1.8MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Fintech, Crypto & Web3Industries
11-50Employees
Risks
Ian Balina's SEC issues could harm Token Metrics' reputation.
Privacy coin regulations may limit Token Metrics' analysis capabilities.
High-risk project involvement could expose Token Metrics to reputational damage.
Differentiation
Token Metrics uses AI and machine learning for crypto investment insights.
The platform offers exclusive access to private investor groups and webinars.
Token Metrics provides back-tested 30-day price predictions and IEO ratings.
Upsides
Growing DeFi interest boosts demand for Token Metrics' analytics services.
AI-driven trading bots present integration opportunities for Token Metrics.
NFT popularity allows expansion of Token Metrics' NFT analytics services.
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