Applied Scientist, Amazon Health, Health Ai - Santa Clara, United States - Amazon Services LLC

Amazon Services LLC

Verified Company

Santa Clara, United States

2 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience in patents or publications at toptier peerreviewed 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, highperformance computing

About Amazon Health

Amazon Health's mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy.

Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.

Job summary

We are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective.

We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs.

We work on machine learning problems for intent detection, dialogue systems, and information retrieval.

You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research.

You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale.

You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.

everydaybetter

Key job responsibilities

Translate product and CX requirements into science metrics and rigorous testing methodologies.
Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.
Design and implement the bestinclass semantic retrieval system by creating highquality knowledge base and optimizing embedding models and similarity measures.
Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.

A day in the life
In a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.

About the team
We are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication.

We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.

Santa Clara, CA, USA | Seattle, WA, USA