Applied Scientist II Gen AI & LLM, PXT
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
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
- 3 years of building models for business application experience
- PhD or Masters 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
- 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.)
- Publications 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA SEATTLE - 142800.00 - 193200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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