Applied Scientist, Alexa Smart Properties

Amazon • Seattle, WA

1d

About The Position

Are you looking for an opportunity to build an LLM-based enterprise-grade,
highly available, large scale solution? Does it excite you to find patterns and
build generic, composable solutions to solve complex problems? Are you looking
for inventing newer and simpler ways of building solutions? If so, we are
looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE
brings the power of Alexa voice assistant to enterprise partners in industries
such as hospitality and senior living. We are inventing Large Language Models
(LLM)-driven interactions to create memorable moments for users while
simultaneously boosting partner revenues and reinforcing brand identity. Beyond
managed properties, AE extends Alexa's reach to premium third-party electronic
devices.

AE team is looking for a highly skilled and inventive Applied Scientist, with a
strong machine learning background, to lead the development and implementation
of state-of-the-art ML systems for Alexa Enterprise use cases.

As an Applied Scientist in the team, you will play a critical role in driving
the development of conversational assistants, in particular those based on Large
Language Models (LLM's), that meet enterprise standards. You will handle
Amazon-scale use cases with significant impact on our customers' experiences.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of designing experiments and statistical analysis of results experience
• Experience programming in Java, C++, Python or related language
• Knowledge of standard speech and machine learning techniques

Nice To Haves

• Experience in designing experiments and statistical analysis of results
• Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
• Experience applying theoretical models in an applied environment

Responsibilities

• You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence.
• You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases.
• Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints.
• Create, innovate, and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results.
• Perform model/data analysis and monitor metrics through online A/B testing.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level