Senior Machine Learning Engineering Manager (AI, Web3)

TL;DR

Senior Machine Learning Engineering Manager (AI, Web3): Leading and scaling the Risk AI/ML organization, defining strategic vision, and owning end-to-end ML systems to protect against fraud and scams. Focus on managing multiple ML teams, driving execution of risk models (Scams, ATO, Payments, On-Chain Fraud), and collaborating with senior stakeholders to impact business goals.

Location: Remote-first, but in-person participation is required throughout the year for team and company-wide offsites. Must be based in the US, as indicated by US-specific benefits (401k, HSA) and E-Verify program for applicants.

Salary: $262,650–$309,000 USD (base annual)

Company

hirify.global is an onchain platform building the future global financial system with a mission to increase economic freedom in the world.

What you will do

• Lead and scale the Risk AI/ML organization, fostering technical excellence.
• Define and execute the multi-year technical and strategic roadmap for Risk AI/ML.
• Manage and mentor ML managers and senior technical leads, growing their careers.
• Guide a 25+ person organization to design, build, and deploy next-generation risk models (e.g., for Scams, ATO, Payments, and On-Chain Fraud).
• Take full ownership of end-to-end ML systems for Risk, from feature engineering to production monitoring.
• Collaborate with VPs and Directors in Product, Engineering, and Operations as the primary AI/ML voice for the Risk domain.

Requirements

• 10+ years of machine learning experience and 5+ years of ML/engineering management experience, including at least 2 years of experience managing other managers.
• Deep domain knowledge in Risk, Fraud, or Trust & Safety, with a proven track record of building ML systems to combat adversarial behavior.
• Experience setting a multi-quarter strategic roadmap for multiple ML teams and interfacing with senior-level partners.
• Strong technical background in modern machine learning techniques and platforms (e.g., supervised/unsupervised learning, deep learning, MLOps, Tensorflow/PyTorch).
• Proven ability to hire and develop top-performing ML managers and engineers.
• Execution-focused mindset with excellent verbal and written communication skills.
• Must be eligible to work in the US (inferred from US-specific benefits and E-Verify program).

Nice to have

• Previous experience in FinTech or Crypto.
• Experience applying advanced ML techniques to risk problems (e.g., Graph Neural Networks, Transformers, LLMs, anomaly detection).
• Deep expertise with high-performance ML serving and MLOps platforms.

Culture & Benefits

• Mission to increase economic freedom in the world, with an intense work culture focused on high performance.
• Remote-first working model, with required in-person participation for team and company-wide offsites multiple times annually.
• Comprehensive health benefits including Medical, Dental, and Vision Plans, plus a Health Savings Account with company contributions.
• 401(k) plan with company match.
• Wellness Stipend, Mobile/Internet Reimbursement, and Volunteer Time Off.
• Fertility Counseling and Benefits, generous Time off/Leave Policy.
• Option of getting paid in digital currency.

Hiring process

• hirify.global is piloting an AI tool for initial screening interviews to qualified applicants, simulating realistic interview scenarios.
• A human recruiter will review your interview responses (voice recording and/or transcript).
• An AI interview intelligence platform is also being piloted to transcribe and summarize interview notes for interviewers.