Staff Machine Learning Engineer

Location: Remote US

Base salary: $156,000–$275,000 annually across US locations; bonus, equity, and benefits are not included.

Company

hirify.global is a life insurance technology company building a three-sided platform for consumers, agents, and carriers, with instant online products and automated underwriting.

What you will do

• Own deployment and production lifecycles for models supporting coverage recommendations, user-to-channel routing, and agent assignment.
• Build feature pipelines and real-time inference infrastructure for consumer-facing product experiences.
• Implement monitoring and alerting for data drift, feature quality, model degradation, and marketing model health.
• Develop CI/CD, retraining infrastructure, and feedback loops that enable data scientists to ship iterative improvements.
• Deploy marketing models for attribution, incrementality, and media mix modeling, with integrations to advertising platforms.
• Build reliable data pipelines and manage dependencies across product and marketing model inventories.

Requirements

• 7+ years of experience in machine learning engineering, MLOps, or software engineering with a strong ML focus.
• Experience deploying and serving real-time production ML models integrated with consumer-facing products, using AWS SageMaker or an equivalent.
• Strong Python engineering skills, including software design, testing, CI/CD, package development, and SQL.
• Experience with feature pipelines, feature stores, and workflow orchestration such as Airflow.
• Familiarity with Docker, container orchestration, and cloud infrastructure.
• Working knowledge of supervised learning, Bayesian models, and causal inference sufficient to debug models independently.
• Experience with marketing measurement, including attribution, media mix modeling, or advertising platform integrations, plus dbt or data warehouse tooling.
• Strong communication, ownership, pragmatic infrastructure judgment, and the ability to collaborate with data scientists, product engineers, and non-technical stakeholders.
• Ability to bridge data science and engineering, contribute through code review and documentation, and mentor others.

Nice to have

• Experience in insurtech, fintech, or another regulated industry.
• Ability to work deeply in technical details while maintaining the broader system perspective.

Culture & Benefits

• Full-time remote position within the US.
• Benefits are available; detailed US benefits are provided through the company careers page.
• hirify.global promotes a diverse, inclusive, and authentic workplace and is an equal opportunity employer.
• Base compensation varies by work location, skills, experience, education, and training.

Hiring process

• Legitimate recruiting communication comes only from email addresses ending in @hirify.global.com or @gethirify.global.com.
• hirify.global will never request payment, banking details, or sensitive personal information during hiring; messages from other domains should be treated as fraudulent.