Principal Applied Scientist, Humorphic Labs

What you'll do

• Turn desired interaction behaviors into hypotheses, evaluation tasks, and system requirements; build evaluation methods for collaboration quality.
• Design, code, and test agent systems and experimental infrastructure, including with real users and interaction data.
• Partner with product, design, engineering, and behavioral research teams to validate and transition proven methods into products.

What they ask for

• PhD in computer science, machine learning, artificial intelligence, or a related technical field; or a Master's degree with equivalent applied science experience; or an equivalent body of work.
• Experience developing agentic AI systems or large language model applications through an end-to-end product cycle.
• Experience designing evaluation for systems that have no standard benchmark.
• Experience writing substantial research or production code in Python or a comparable language.

Nice to have

• Experience with post-training methods, including supervised fine-tuning and reinforcement learning.
• Experience with multimodal models across language, speech, and vision.

Pay

198,900.00 - 269,000.00 USD annually (base salary)

Tools

Python, large language model applications, agentic AI systems, multimodal models, supervised fine-tuning, reinforcement learning

AI focus

Build and scientifically evaluate AI teammates and agentic, multimodal systems, focusing on collaboration quality, trust, adaptation, human contribution, and failure recovery.