Job Description

Requirements

• REQUIRED: US citizenship or green card. Ph.D. in Human-Computer Interaction
• Cognitive Science
• Computer Science
• Linguistics
• or related discipline. 3+ years direct research experience post-Ph.D. Willingness and ability to obtain independent research funding. Strong publication record as lead author or senior author in high-impact journals/conferences. Excellent written and oral presentation skills. Other Preferred Skills: Experience with 1) deep learning
• as well as common associated frameworks (e.g. PyTorch or TensorFlow) and 2) NLP
• employing established toolsets (e.g. spaCy
• nltk
• gensim). Familiarity with common tools
• frameworks
• and services for building
• testing
• and evaluating generative AI
• especially LLMs (e.g.
• HuggingFace
• LangChain
• OpenAI). Experience utilizing contemporary LLM frameworks for learning and inference
• including supervised fine-tuning LLMs
• as well as transformer reinforcement learning (e.g.
• reinforcement learning with human feedback (RLHF)
• direct preference optimization (DPO)). Expertise in evaluating AI alignment/misalignment
• diagnosing possible sources of bias
• and deploying strategies to address or mitigate poor alignment.