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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in training machine learning models on blockchain data, with strong foundations in modeling, evaluation, and experimentation. Proficient in Python and SQL, with experience in building production-quality ML models and AI agents while managing multiple priorities in a remote environment.
Highest-signal resume keywords
Machine Learning FoundationsPython ProgrammingSQL ProficiencyExperience with LLMsDistributed Data Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModelingEvaluationExperimentationAI AgentsProduction ML CodeAlgorithmsData PipelinesStatistical AnalysisQuantitative Analysis
Soft Skills
Async CommunicationTechnical CommunicationIndependent WorkCollaborationCustomer Feedback Iteration
Tools & Technologies
CursorClaude CodeSparkBigQueryAirflowLoomSlackNotion
Industry Keywords
BlockchainCryptoFraudMoney LaunderingFinancial Crime
Tech Stack
Tools & technologiesAirflowBigQueryPythonSparkSQL
About the role
Key responsibilities & impact- Train machine learning models on blockchain data, including foundation models, from research through production
- Build AI agents and fine-tune LLMs where useful
- Generate new intelligence using patterns across Network, On-chain, and Protocol intelligence layers
- Ship production-quality ML models, agents, and data pipelines with rigorous evaluation and scalable architecture
- Pursue ambitious, high-impact initiatives and drive measurable outcomes
- Work on Intel Cortex and other cross-cutting AI Research projects
- Partner with category pods whose expert-built heuristics provide labels for models
- Deliver high-stakes attribution insights for customers in days rather than weeks
- Build MVP algorithms within 1–2 sprints and iterate using customer feedback
- Manage multiple priorities across categories and stakeholders while maintaining quality and speed
Requirements
What you’ll need- Quantitative background in Computer Science, Statistics, Engineering, Mathematics, or Physics
- Advanced degree or equivalent research experience is a plus
- Strong machine learning foundations in modeling, evaluation, and experimentation
- 5+ years of hands-on machine learning experience
- Strong Python and SQL skills
- Strong proficiency with AI-assisted coding tools such as Cursor and Claude Code
- Experience with distributed data systems including Spark, BigQuery, and Airflow
- Experience shipping production ML code
- Strong async communication using Loom, Slack, and Notion
- Strong technical communication in English
- Ability to own work independently in a remote environment
- Experience with LLMs, AI agents, or fine-tuning is a bonus
- Domain curiosity or prior work in blockchain, crypto, fraud, money laundering, or financial crime is a bonus
- At least 4-hour overlap with PST business hours
Benefits
Comp & perks- Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements
- Fully remote work
- Globally distributed team
- Flexible async collaboration across time zones