Amazon Web Services (AWS) · 2 days ago
Senior Applied Scientist, Model Customization, Generative AI Innovation Center
Arlington, VA
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
5+ years expAmazon Web Services (AWS) is at the forefront of Machine Learning and AI, focusing on Generative AI solutions to solve real-world problems. The Senior Applied Scientist will collaborate with customers to design and implement customized generative AI solutions, working closely with a team of scientists and engineers to optimize these solutions for business impact.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
Provide customer and market feedback to product and engineering teams to help define product direction
Qualification
Required
PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work experience
5+ years of hands on experience with Python to build, train, and evaluate models
5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques
Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred
Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas
Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams
Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
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