Amazon Web Services (AWS) · 16 hours ago
Applied Scientist, Generative AI Innovation Center, Model Customization
New York, United States
Full-time
Onsite
Senior Level
$136K/yr - $223K/yr
5+ years expAmazon Web Services (AWS) is at the forefront of Machine Learning and AI, seeking an Applied Scientist to work in their Generative AI Innovation Center. The role involves collaborating with customers to implement generative AI solutions and optimizing models to address real-world challenges.
Agentic AIConsultingDevOpsInformation 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
3+ years of building machine learning models for business application experience
PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master's degree plus 5 years of relevant work experience
5+ years of hands on experience with Python to build, train, and evaluate models
2+ 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
Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred
2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques
Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
Track record of building and deploying ML models at scale
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
Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
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
2026-01-09
2026-01-08
Company data provided by crunchbase