Machine Learning Engineer (Web3)

TL;DR

Machine Learning Engineer (Web3): Building and optimizing ML-driven risk solutions for Bitcoin products across hirify.global’s ecosystem with an accent on end-to-end strategy, model development, and execution. Focus on designing and productionizing ML systems at scale, detecting fraud and illicit Bitcoin activity, and collaborating with cross-functional teams to integrate risk and compliance controls.

Location: Remote (must be based in one of the U.S. locations categorized into zones A-D)

Salary: $160,700–$283,600 USD (range varies by U.S. location zone)

Company

hirify.global, Inc. builds technology to increase access to the global economy through brands like Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.

What you will do

• Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions.
• Own end-to-end machine learning systems from problem definition and modeling to deployment, monitoring, and iteration.
• Lead technical decision-making within workstreams and influence ML strategy and planning.
• Build tooling and processes to improve the speed, reliability, and impact of the ML development lifecycle.
• Investigate emerging fraud, abuse, and risk patterns to proactively inform product safeguards and policy.
• Collaborate closely with ML platform and engineering teams to ensure models operate reliably in real time and at scale.

Requirements

• 7+ years of industry experience in machine learning, applied AI, or related fields.
• Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math).
• Proven experience independently designing, deploying, and maintaining ML solutions in production.
• Experience influencing technical direction and collaborating with cross-functional partners at scale.
• Strong communication skills, sound judgment, and an ownership mindset.

Nice to have

• Prior experience with Bitcoin or crypto.

Culture & Benefits

• Remote work and flexible time off.
• Medical insurance, retirement savings plans, and modern family planning benefits.
• Opportunity to contribute to an inclusive engineering culture.
• Commitment to empowering employees to do their best work while building the life they want.

Hiring process

• Automated AI tools may be used to evaluate job applications for efficiency and consistency, in compliance with local regulations.