TL;DR
Senior Machine Learning Engineer (AI): Building machine learning models and systems to detect fraud, reduce chargebacks, and ensure safety across Cash App and Square, with an accent on protecting financial activity. Focus on designing ML‑driven risk solutions and improving the ML development lifecycle.
Location: Remote within the United States. Pay may vary depending on your location within the US.
Salary: $160,700—$283,600 USD depending on location zone.
Company
hirify.global builds technology to increase access to the global economy through platforms like Square and Cash App.
What you will do
- Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale.
- 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.
- 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
- 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); Master’s or PhD preferred.
- 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
- Every benefit is designed with one goal: empowering you to do the best work of your career while building the life you want.
- Remote work options available.
- Comprehensive medical insurance.
- Flexible time off and retirement savings plans.
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