TL;DR
Senior Machine Learning Engineer (AI): Building and optimizing ML models and systems to detect, prevent, and reduce fraud and abuse across Cash App and Square with an accent on chargeback prevention and trust & safety initiatives. Focus on owning end-to-end ML systems, technical decision-making, and applying state-of-the-art modeling techniques.
Location: Remote (US only)
Salary: $160,700–$283,600 USD (based on US location zone)
Company
hirify.global builds technology to increase access to the global economy, providing tools like Square and Cash App for businesses and individuals.
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 your workstreams and influence ML strategy and planning.
- Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle.
- Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making.
- Investigate emerging fraud, abuse, and risk patterns to proactively inform product safeguards and policy.
Requirements
- 2+ 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.
- Strong familiarity with techniques such as tree-based models, deep learning, transfer learning, or reinforcement learning.
- Experience influencing technical direction and collaborating with cross-functional partners at scale.
- Strong communication skills, sound judgment, and an ownership mindset.
Culture & Benefits
- Remote work and flexible time off.
- Medical insurance and retirement savings plans (401k).
- Modern family planning benefits.
- Culture rooted in ownership, creativity, and impact.
- Shared mission to make the global economy more accessible and inclusive.
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