Research Scientist (AI)

Location: San Francisco, United States; in-person at the SF office

Company

hirify.global develops AI models that learn and retain compact memories of users’ knowledge and work, with partnerships across leading AI and technology companies.

What you will do

• Design experiments and develop methods for encoding large, heterogeneous document corpora into compact parametric memory.
• Develop synthetic data and self-study pipelines that help models reflect on and consolidate new context.
• Research continual learning algorithms addressing catastrophic forgetting, sequential updates, knowledge conflicts, and retrieval tradeoffs.
• Explore reinforcement learning and online training methods using interaction and feedback from real deployments.
• Study the relationship between model capacity, data scale, and compute, and develop scaling laws for product planning.
• Build evaluations and ship research-driven capabilities used by real customers.

Requirements

• Deep machine learning background with strong fundamentals in inference serving systems, KV cache design, or latency-sensitive model deployment.
• Track record of rigorous ML research through publications, substantial open-source contributions, or equivalent demonstrated depth.
• Extensive experience with continual learning, memory architectures, test-time training, parameter-efficient fine-tuning, context compression, retrieval, synthetic data, distillation, or agents.
• Ability to work across research and engineering, understanding both research questions and production systems.
• Strong technical communication and the ability to explain complex ideas clearly.
• Experience connecting research with products and familiarity with LLM training infrastructure.

Culture & Benefits

• Work on frontier problems in learning and memory within a small, focused research and engineering team.
• Collaborative, pragmatic, problem-driven environment with a high bar for shipped work.
• Competitive cash compensation and startup equity.