Staff Machine Learning Engineer (AI)

Location: Remote-first across the United States and Canada

Salary: $233,500–$290,700 starting base salary annually, plus a target annual bonus of 20% of base, meaningful equity, and a 401(k) match.

Company

hirify.global builds registry, shopping, maternal health, education, and community products for families, serving millions of people each year.

What you will do

• Set the technical direction for personalization across the homepage feed, recommendations, and search.
• Take ambiguous business problems from initial definition through production models and measure customer impact.
• Build custom embeddings and shared representations from raw data for multiple product surfaces.
• Make cross-team modeling and architecture decisions, including customer identity resolution across registry, shop, and health products.
• Own orchestration, deployment, monitoring, evaluation, and retraining for production ML systems.
• Partner with product, design, and data, while coaching senior engineers through complex technical decisions.

Requirements

• Production machine learning experience with recommender systems or personalization used by real customers at scale.
• Deep experience with the Python ML ecosystem, including pandas, scikit-learn, XGBoost, and PyTorch.
• Experience across the full ML lifecycle, from orchestration and deployment to monitoring and retraining.
• Ability to build custom representations from raw data rather than relying only on off-the-shelf embeddings.
• Experience defining ambiguous problem spaces, architecting solutions from scratch, and owning outcomes end to end.
• Ability to work remotely from the United States or Canada.

Nice to have

• Experience with deep learning, matrix factorization, retrieval, and ranking.
• Experience with AWS SageMaker and MLflow.
• Experience shaping AI-assisted engineering practices and evaluation systems.

Culture & Benefits

• Remote-first work across the United States and Canada, with company-wide gatherings twice a year.
• Small engineering pods and close collaboration with product, design, data, and customers.
• AI-assisted engineering with human ownership of outcomes.
• Company-paid medical, fully covered dental and vision, and a 401(k) match.
• Paid parental leave, gradual return-to-work support, a paid winter company week, remote-work stipend, and mental-health and wellness support.

Hiring process

• Recruiter conversation lasting approximately 30 minutes.
• One-hour technical screen focused on first-principles reasoning without AI assistance.
• Final round with system design, AI-assisted coding, product sense, and culture and values interviews.