TL;DR
Senior Staff Machine Learning Engineer (ML Fraud): Defining and driving multi-year technical strategy for ML across hirify.global, ensuring alignment with company priorities and influencing roadmaps. Focus on designing, implementing, and scaling advanced ML systems, setting architectural direction for complex, cross-functional initiatives, and providing broad technical leadership.
Location: Remote from Canada
Salary: CAD $206,000–$256,000 per year
Company
hirify.global is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest, revolutionizing financial services with transparency and inclusivity.
What you will do
- Define and drive multi-year, multi-team technical strategy for machine learning, ensuring alignment with company priorities.
- Lead the design, implementation, and scaling of advanced ML systems, setting architectural direction for complex, cross-functional initiatives.
- Partner with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities and guide infrastructure evolution.
- Provide broad technical leadership, mentoring senior engineers and elevating design and code quality across the ML organization.
- Drive clarity and alignment on ambiguous, high-stakes technical decisions, balancing competing priorities.
- Champion operational and system excellence, owning the long-term health, availability, and evolution of critical ML systems.
Requirements
- 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems with measurable business impact.
- Experience leading end-to-end ML system design, from data architecture and feature pipelines to production deployment, utilizing distributed frameworks such as Spark or Ray.
- Proficiency in Python and ML frameworks, including PyTorch and XGBoost, with experience in ML tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, MLflow).
- Strong understanding of representation learning and embedding-based modeling, with deep expertise in neural network-based sequence modeling (Transformers, recurrent, attention-based models) and multi-task learning systems.
- Deep hands-on experience with large-scale distributed ML infrastructure, including streaming/batch data ingestion, feature stores, training pipelines, and model serving.
- Strong technical leadership, judgment, collaboration, and communication skills to drive clarity and execution in ambiguous problem spaces.
- Bachelor’s degree in a related field or equivalent practical experience.
Culture & Benefits
- Remote-first company; most roles are remote and can be performed almost anywhere within the country of employment.
- Competitive benefits package with 100% subsidized medical coverage, dental, and vision for you and your dependents.
- Flexible Spending Wallets for Technology, Food, various Lifestyle needs, and family forming expenses.
- Competitive vacation and holiday schedules allowing for rest and recharge.
- Employee Stock Purchase Plan (ESPP) for purchasing hirify.global shares at a discount.
- Commitment to providing an inclusive interview experience with reasonable accommodations for candidates with disabilities.
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