Applied Scientist II - Gen AI & LLM, PXT

Key job responsibilities

• Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g., Claude, GPT, LLaMA) and AWS services including Amazon Bedrock, SageMaker, and other AWS AI/ML tools
• Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine-tuning, and model evaluation
• Production Deployment: Build scalable, production-ready AI systems that serve millions of requests with high reliability, low latency, and cost efficiency
• Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate business requirements into technical solutions and drive measurable impact
• Technical Leadership: Mentor junior scientists, contribute to technical strategy, and establish best practices for GenAI development across the organization
• Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance, bias, safety, and business impact
• Documentation & Communication: Publish technical papers, create detailed documentation, and present findings to both technical and non-technical audiences

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• 2+ years of hands-on experience with foundation models and LLM applications (prompt engineering, RAG, fine-tuning, RLHF, Transformer models, and AI Agents)
• Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Lambda, etc.)
• Publishations in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, COLM, etc.)
• Experience with model optimization techniques (quantization, distillation, efficient inference)
• Knowledge of responsible AI practices including bias detection, fairness, and safety evaluation

Pay

Base salary range: $142,800.00 - $193,200.00 USD annually

Schedule

Not specified