- 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.
- 3+ years of building machine learning models for business application experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 5+ years of building machine learning models for business application experience
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Sr. Applied Scientist, Health, Health AI - Seattle, United States - Amazon
Description
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 summaryWe are seeking an exceptional Sr.
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
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.
We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USA | Seattle, WA, USA
Basic Qualifications
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visitOur compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
