Token Metrics Logo

Token Metrics

Crypto Data Scientist / Machine Learning - LLM Engineer Intern

Reposted Yesterday
In-Office or Remote
Hiring Remotely in Houston, TX
Junior
In-Office or Remote
Hiring Remotely in Houston, TX
Junior
The intern will optimize ML systems, analyze data sets, develop predictive models, and document machine learning processes while working under guidance.
The summary above was generated by AI
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

28 Minutes Ago
Remote or Hybrid
67 Locations
123K-123K Annually
Expert/Leader
123K-123K Annually
Expert/Leader
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead multiple teams in delivering full-stack AI solutions. Oversee AI model lifecycle, ensuring quality and strategic alignment while fostering innovation and stakeholder relationships.
Top Skills: AWSAzureCi/CdGitGoogle Cloud PlatformLangchainLlmsPandasPythonPyTorchScikit-LearnSemantic KernelSQLVector Dbs
29 Minutes Ago
Remote
2 Locations
180K-230K Annually
Mid level
180K-230K Annually
Mid level
Software • Defense
The Product Manager will drive internal tools and data science initiatives, improving workflows and building data infrastructure to enhance decision-making and efficiency across teams.
Top Skills: Analytics ToolsData SystemsData Visualization ToolsLookerSQLTableau
2 Hours Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
As a Senior Product Manager, lead product strategy for Voice and Knowledge Base, collaborate cross-functionally, manage execution from concept to launch, and serve as key stakeholder liaison.
Top Skills: AIContact CenterCRMVoice

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account