Senior Applied Scientist (AI)

Location: Remote in the United States or Canada, excluding Quebec. Regular team onsites and in-person meetings are expected once or twice per quarter for 2–4 consecutive days.

Base salary for Canada: $167,700–$231,800 USD annually. Total compensation also includes target bonuses, equity, and benefits.

Company

hirify.global is an AI lending marketplace that partners with banks and credit unions to expand access to affordable credit through predictive modeling and technology.

What you will do

• Lead end-to-end development of machine learning models from problem formulation and experimentation through deployment and performance evaluation.
• Design and assess advanced modeling approaches to improve predictive accuracy, robustness, and operational effectiveness.
• Improve existing models through feature development, experimentation, and rigorous statistical analysis.
• Partner with engineering, product, and business stakeholders to translate complex requirements into measurable machine learning objectives.
• Guide technical decisions, review scientific methodologies, and share expertise across the team.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
• At least 3 years of experience developing and evaluating machine learning models or applying statistical methods to production-oriented problems.
• Experience developing machine learning solutions with Python and established machine learning frameworks.
• Experience designing and evaluating experiments using statistical methods and quantitative performance metrics.
• Experience implementing, deploying, or maintaining machine learning models in production environments.

Nice to have

• Advanced degree, ideally a PhD, in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
• Knowledge of ensemble learning, deep learning, or probabilistic modeling.
• Ability to evaluate tradeoffs among model performance, interpretability, reliability, and computational efficiency.
• Experience with large-scale data processing or distributed machine learning systems.
• Ability to communicate complex scientific findings and recommendations across technical and business teams.

Culture & Benefits

• Digital-first work environment with remote flexibility and regular in-person collaboration.
• Full-time employee benefits include medical, dental, vision, retirement plans, paid time off, sick leave, holidays, and family and parental leave.
• Compensation includes bonus opportunities and annual equity grants; eligible employees may access an employee stock purchase plan.
• Additional support includes wellness, productivity, financial planning, mental health, disability, and life insurance benefits.
• Team events, employee resource groups, and office perks are available.