Member of Technical Staff, AI Researcher (AI)

Location: Remote (USA); U.S. citizenship is required.

Salary: $250,000–$400,000 base salary per year plus equity.

Company

hirify.global is an incubation firm building and investing in technology-led companies across healthcare, cyber, and national security. The stealth startup develops AI platforms that help organizations in healthcare, government, and other regulated industries transform institutional knowledge into intelligence assets.

What you will do

• Design and build evaluation frameworks, benchmarks, methodologies, AI-agent harnesses, multimodal model evaluations, and reinforcement learning environments.
• Develop reward models, programmatic verifiers, graders, and other feedback systems that make model behavior measurable and improvable.
• Design and run supervised fine-tuning and reinforcement learning experiments to measure dataset effects on capability, generalization, and alignment.
• Define representative evaluations of real-world work and operational environments, and build high-quality human-data systems through expert task design, annotation methodologies, data-quality signals, and data-attribution techniques.
• Prototype and evaluate research ideas, diagnose failure modes, and convert findings into improved benchmarks, datasets, and technical systems.
• Move successful methods into scalable production implementations while collaborating across research, engineering, product, and operations; contribute through benchmarks, open-source tools, research, and technical writing.

Requirements

• 5+ years of relevant experience in machine learning, artificial intelligence, computer science, data science, software engineering, or a related technical field.
• Ability to operate at the intersection of AI research and software engineering.
• Strong Python skills and experience building reliable, scalable software.
• Hands-on experience with AI agents, model evaluations, reinforcement learning, post-training, or related systems.
• Strong understanding of frontier AI methods, including benchmarks, evaluation techniques, agent harnesses, post-training approaches, and training-data design.
• Experience building or working with reward models, automated verifiers, graders, or other model-feedback systems.
• Experience designing evaluations or experiments that measure model capability, generalization, alignment, or agent performance.
• Ability to build research prototypes and develop them into maintainable, production-quality systems.
• Strong analytical, problem-solving, written communication, and technical documentation skills; U.S. citizenship is required.

Nice to have

• Advanced degree in machine learning, artificial intelligence, computer science, data science, or a related field.
• Equivalent research and engineering experience, including strong technical, open-source, or published output.

Culture & Benefits

• Fast-moving environment with evolving priorities and technical approaches.
• Opportunity to work across research, engineering, product, and operations on mission-critical AI systems.
• Employer-paid medical, dental, and vision coverage for employees and families.
• Fourteen weeks of paid maternity and paternity leave at normal pay.
• Unlimited PTO with management approval, professional development opportunities, optional 401(k), FSA, equity incentives, and mental health benefits.