The intern will optimize ML systems, analyze data sets, develop predictive models, and document machine learning processes while working under guidance.
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.
It is unpaid internship.
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.
Top Skills
Java
Llm
Ml Frameworks
Python
R
Similar Jobs
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
The Director of Programmatic Activation leads media decision-making, oversees trading teams, optimizes campaign performance, and collaborates with Client Success teams to achieve business goals.
Top Skills:
Amazon DspCm360DspDv360ExcelThe Trade DeskViantXandrYahoo
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Program Manager will lead cross-functional initiatives to enhance customer experience in the Risk and Fraud product domain by integrating customer insights into operations, optimizing workflows, and delivering measurable outcomes.
Big Data • Fintech • Mobile • Payments • Financial Services
The Fraud Operations Performance Associate II monitors and enhances label accuracy in fraud cases, collaborates with teams, analyzes data, and provides feedback to improve operations.
Top Skills:
EkataEmailageLexisnexisLookerNetverifyOnfidoSalesforceSnowflakeTloTransunion
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
