AI Scientist (Blockchain)

Location: Remote in LATAM; listed location: São Paulo, Brazil. At least 4-hour overlap with PST business hours is required.

Company

hirify.global provides AI-powered intelligence platforms that help public and private sector agencies investigate illicit activity, trace funds, and disrupt criminal networks.

What you will do

• Train machine learning and foundation models on blockchain data and take them from research to production.
• Build AI agents and fine-tune LLMs to generate product intelligence beyond hand-built heuristics.
• Discover new intelligence across network, on-chain, and protocol data layers.
• Ship production-quality ML models, agents, and data pipelines with rigorous evaluation and scalable architecture.
• Deliver high-impact attribution and intelligence projects, iterating from MVPs to production based on customer feedback.
• Work across category pods to use expert-built heuristics and high-confidence labels for model development.

Requirements

• Quantitative background in computer science, statistics, engineering, mathematics, physics, or a related field.
• Strong machine learning foundations developed through years of applied ML and/or research, including modeling, evaluation, and experimentation.
• 5+ years of hands-on machine learning experience.
• Strong Python, SQL, and AI-assisted coding skills, including tools such as Cursor or Claude Code.
• Experience with distributed data systems such as Spark, BigQuery, and Airflow, plus production ML code.
• Strong problem-solving skills, a hypothesis-driven and iterative approach, and the ability to work through ambiguity.
• Strong asynchronous and technical communication in English, with the ability to work independently in a remote environment.
• At least 4-hour overlap with PST business hours is required.

Nice to have

• Advanced degree or equivalent research experience.
• Experience with LLMs, AI agents, or fine-tuning.
• Domain curiosity or experience in blockchain, crypto, fraud, money laundering, or financial crime.

Culture & Benefits

• Fully remote and globally distributed AI Research team.
• High-ownership, fast-paced environment focused on experimentation, urgency, adaptability, and measurable impact.
• Work includes rapid MVP delivery, typically within 1–2 sprints, followed by iteration from customer feedback.
• Role involves parallel execution across multiple categories and stakeholders.
• Priorities may change quickly, with frequent collaboration and high-touch communication.

Hiring process

• Apply directly and provide thoughtful, accurate answers to the application questions; highlight experience and impact demonstrating the required qualifications.
• Process typically includes a recruiter introduction, hiring manager interview, first-round skills interviews, a hands-on case study, references, and an offer discussion.
• AI skills and applied AI fluency are evaluated during the interview process; unapproved AI tools are not permitted during interviews.