Machine Learning Engineer (AI)

Location: Hybrid in New York or San Francisco, United States

Salary: $170,000–$300,000 per year, plus equity

Company

hirify.global builds a growth platform that combines unique data, signals, and AI research to help organizations reach their best-fit customers.

What you will do

• Design and ship learning loops that use customer data and behavior to improve the product.
• Build recommendation-first experiences from prototype through production, including ranking, personalization, and other intelligence features.
• Develop the ML and data platform, including data lake foundations, feature infrastructure, pipelines, retrieval, and serving infrastructure.
• Build evaluation systems and online monitoring to measure the quality and user impact of ML features.
• Partner with product, data science, and data platform teams across hirify.global to make product surfaces more intelligent.
• Define architecture and engineering standards for the new Learning Team.

Requirements

• 5+ years of experience in machine learning engineering or ML-heavy software engineering, with ML models and features shipped to production.
• Strong software engineering fundamentals and experience owning production-quality systems.
• Experience with LLMs in production, including prompting, evaluations, guardrails, or fine-tuning, and/or classical ML such as ranking, recommendations, or propensity models.
• Experience building data-intensive systems, including pipelines, feature infrastructure, retrieval, and serving.
• Product-oriented judgment, comfort with ambiguity, and the ability to choose simple solutions when appropriate.
• Experience with recommendation systems, search ranking, personalization, or evaluation frameworks for LLM and ML systems.

Nice to have

• Familiarity with Snowflake, dbt, Dagster, modern data stacks, and data lake architectures.
• Experience in fast-moving startup environments.
• Strong interest in current AI innovations and tools.

Culture & Benefits

• Work with a centralized Learning Team whose roadmap serves product teams across hirify.global.
• Ownership of architecture, standards, product vision, and greenfield ML initiatives.
• Access to world-class coaches specializing in creativity, management, and related areas.
• Opportunity to work on a product focused on self-learning revenue intelligence.
• Equity included in the compensation package.