Senior ML Engineer (AI)

Location: Remote

Salary: $205,000–$250,000 plus stock options

Company

hirify.global builds infrastructure that enables health and wellness merchants to accept HSA/FSA funds and helps consumers use pretax spending for healthy food, exercise equipment, and supplements.

What you will do

• Run experiments that improve product-eligibility classification accuracy, from hypothesis and labeled-data testing through production deployment.
• Design and iterate on classifiers using prompting, retrieval, fine-tuning, and multi-model approaches.
• Analyze misclassifications, identify failure modes, and convert findings into new experiments.
• Build evaluation sets, metrics, and ground-truth labeling methodology for AI systems.
• Track new models and research, extend classification to new product categories, and prototype additional applications for models and data.
• Collaborate with clinical operations and legal teams to translate eligibility standards into labeled data and testable system behavior; document results and improve AI fluency across engineering.

Requirements

• 5+ years of engineering or applied research experience, including at least 2 years of hands-on work with LLMs or other ML models on real problems.
• Demonstrated ability to run rigorous experiments using clear hypotheses, sound baselines, ablations, and defensible conclusions.
• Comfort spending significant time inspecting data and designing evaluation methodology, including defining correctness and measuring it.
• Hands-on experience with prompting, fine-tuning, retrieval, or agent design using foundation models such as OpenAI, Anthropic, or open-weight models.
• Fluency in Python and sufficient engineering depth to take experiments into production.
• Senior-level ownership of taking an ambiguous ML problem from the first experiment to production independently.
• Comfort discovering the right approach through experimentation when requirements are ambiguous.
• Public evidence of experimental work, such as a paper, open-source ML project, or technical write-up of defensible results.

Nice to have

• Experience with healthcare or regulatory classification.
• Experience with multi-model orchestration.

Culture & Benefits

• Remote work.
• Compensation and equity positioned in the top decile for Series A startups.
• Medical, dental, and vision insurance with employer-sponsored HSA contributions.
• 401(k) and unlimited PTO.
• Coworking and learning-and-development stipends.
• Two company offsites and two team offsites per year.