Senior Research Scientist (AI)

Location: Hybrid, based in the New York City or Arlington, VA office.

Base salary: $190,000–$245,000 per year, plus an annual discretionary bonus.

Company

hirify.global provides an AI-powered real-time intelligence platform that detects emerging risks, events, and threats from text, image, video, audio, and sensor data across 150+ languages.

What you will do

• Build and deploy AI models that identify real events from bursts of posts across 150 languages in seconds.
• Advance multimodal and LLM research, including systems that verify crisis videos and agents that keep event briefs accurate as facts change.
• Take research from experiments to production by shipping models into hirify.global products.
• Partner with engineers, product experts, and domain specialists to deliver value for existing and new customers.
• Share research through publications at top-tier venues, program committee service, and AI for Good collaborations.

Requirements

• Ph.D. in Computer Science or a related field, with depth in one or more areas including LLM training and adaptation, distillation, evaluation and benchmarking, agentic systems, retrieval and grounding, search, recommendation, multimodal models, or temporal and streaming reasoning.
• Research track record demonstrated through publications at venues such as NeurIPS, ICML, ICLR, ACL, AAAI, COLM, or CVPR.
• Hands-on experience training and adapting models at scale, with strong Python and PyTorch fundamentals.
• Experience with modern training and inference tooling such as vLLM and Langfuse.
• Ability to independently design experiments and demonstrate progress through principled, well-chosen metrics.
• Fluency with AI coding and research agents and regular use of them to accelerate research.
• Ability to own research projects from initial idea through shipped result and bring teammates along.
• Leadership demonstrated through cross-functional technical guidance and mentorship of other scientists.

Culture & Benefits

• Collaborative, interdisciplinary environment focused on meaningful real-world impact and AI for good.
• Flexible work arrangements and offices around the world.
• Generous paid time off and sick leave.
• Professional development funds, manager development programming, and employee resource groups.
• Inclusive culture centered on merit, equity, empathy, and allyship.
• Competitive benefits package supporting employee health and well-being.