Senior Machine Learning Engineer (AI)

Location: San Francisco, New York, or US Remote. San Francisco and New York employees within commuting distance follow a hub-hybrid model with in-office work 2 days per week.

Base salary: $160,000–$235,000 USD per year, excluding equity and benefits.

Company

hirify.global provides an AI-first CRM for private capital, using relationship, interaction, and deal data to surface connections and insights across the investment lifecycle.

What you will do

• Own the full machine learning lifecycle from ideation and feature engineering through model selection, deployment, observability, and evaluation.
• Translate product and business needs into robust machine learning system designs.
• Architect and launch ranking and recommendation infrastructure, initially using integrated off-the-shelf models and later evolving toward customized solutions.
• Solve information extraction, storage, and retrieval problems across structured and unstructured data.
• Build high-scale data processing and MLOps systems with product, infrastructure, data engineering, and software engineering teams.

Requirements

• 5+ years of software engineering and/or machine learning experience applying machine learning in production.
• Hands-on experience developing ranking or recommendation systems from scratch and deploying them at scale using methods such as learn-to-rank and explainable recommendations.
• Strong understanding of machine learning techniques, including clustering and decision trees.
• Experience serving machine learning models for streaming and batch inference at scale.
• Experience with vector or graph databases, Python, and modern machine learning frameworks such as PyTorch or Scikit-learn.
• Experience building maintainable, testable, production-grade codebases and using observability tools for model evaluation, A/B testing, and AI application tracing.

Nice to have

• Dataset engineering experience, including data curation, augmentation, and synthesis.
• Experience with graph-based recommendation systems, including graph neural networks.
• Experience with packaging, CI/CD, and pipeline automation.

Culture & Benefits

• Fast iteration and comfort with ambiguity, with a focus on delivering customer value.
• Candid, transparent, and personally considerate communication.
• Data-driven decision-making and a growth mindset.
• Medical, dental, and vision insurance coverage with PPO, HDHP, and HMO options in California, plus flexible personal and sick days.
• 401(k), annual education budget, learning and development program, wellness reimbursements, and virtual team-building activities.