Senior Machine Learning Engineer (AI)

Location: Santa Ana, California, United States — hybrid

Company

hirify.global provides technology and services for grading, authenticating, vaulting, researching, and selling collectibles, including trading cards, autographs, comic books, coins, video games, tickets, and memorabilia.

What you will do

• Design, build, deploy, and monitor end-to-end machine learning systems for AI/ML product initiatives.
• Own projects from problem framing through implementation, evaluation, launch, and post-launch monitoring.
• Develop production-grade computer vision, multimodal, and agentic AI pipelines that process images and other inputs and return reliable structured outputs.
• Build data pipelines, model evaluation frameworks, and feedback loops to maintain accurate, scalable, and maintainable training and inference systems.
• Partner with annotation, operations, product, engineering, and domain experts to define data requirements, labeling standards, metrics, and rollout plans.
• Translate experiments into technical recommendations while balancing model quality, latency, cost, and operational complexity.

Requirements

• 5+ years of experience in machine learning, applied AI, or closely related software engineering.
• Hands-on experience shipping production machine learning systems, including data preparation, training, evaluation, deployment, and monitoring.
• Proficiency in Python and common machine learning tools, with strong software engineering fundamentals in testing, modular design, observability, and version control.
• Experience with computer vision, multimodal modeling, information extraction, search and retrieval, or LLM-based systems.
• Ability to define statistically sound evaluation methods and make data-driven decisions about model readiness and trade-offs.
• Must be able to work legally in the United States; employment eligibility is validated through e-Verify.

Nice to have

• Experience with image-heavy or quality-sensitive domains such as inspection, authentication, fraud detection, or document and image understanding.
• Experience with agentic systems, tool-using LLMs, verification loops, retrieval, and structured outputs.
• Familiarity with cloud machine learning infrastructure, experiment tracking, and production inference patterns.
• Experience working with human-in-the-loop operations, annotation teams, or domain specialists.
• Interest in collectibles, trading cards, marketplaces, or trust-and-safety problems.

Culture & Benefits

• Collaborate with product, engineering, operations, and domain experts.
• Work on products used by graders, researchers, and hirify.global.
• Participate in design reviews, code reviews, and cross-functional technical discussions.
• Video interviews require cameras to be on; some interview stages may take place by phone or onsite.