Amazon Development Center U.S., Inc.
Location
Santa Clara, CA | United States
Job description
DESCRIPTION
Interested in generative artificial intelligence (AI)? Our team's mission is to make LLMs and Large Vision and Language Models (LVMs) available across data driven products and businesses. Our vision is to bring the best of humans and foundation models to improve the entire machine learning model development lifecycle (the loop). We specialize in developing managed Human-in-loop ML/AI services (HIL) such as SageMaker Ground Truth for model training, and Mechanical Turk for crowd intelligence. Our strategy is to bring the best of foundation models to tasks such as ground truth generation via steering large generative models.
We are seeking an experienced Applied Scientist for the Human-in-loop ML/AI Services team. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. It will be your job to help develop ML science for human-in-loop problems and work closely with the engineering team to ship them to our customers. You are also expected to advise the HIL leadership team, mentor applied scientists on the HIL Science team, and be a role model for Amazon Leadership Principles.
Strong technical skill and experience with LLMs or LVMs is required. Our customers are strongly technical and the solutions we build for them are strongly coupled to technical feasibility.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
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
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