Senior Applied Scientist, Alexa International

Amazon • Bellevue, WA

1d

About The Position

Alexa International Science team is looking for a passionate, talented, and
inventive Senior Applied Scientist to help build industry-leading technology
with Large Language Models (LLMs) and multimodal systems, requiring strong deep
learning and generative models knowledge. At this level, you will drive
cross-team scientific strategy, influence partner teams, and deliver solutions
that have broad impact across Alexa's international products and services.

As a Senior Applied Scientist with the Alexa International team, you will work
with talented peers to develop novel algorithms and modeling techniques to
advance the state of the art with LLMs, particularly delivering industry-leading
scientific research and applied AI for multi-lingual applications — a
challenging area for the industry globally. Your work will directly impact our
global customers in the form of products and services that support Alexa+.
You will leverage Amazon's heterogeneous data sources and large-scale computing
resources to accelerate advances in text, speech, and vision domains. The ideal
candidate possesses a solid understanding of machine learning, speech and/or
natural language processing, modern LLM architectures, LLM evaluation & tooling,
and a passion for pushing boundaries in this vast and quickly evolving field.
They thrive in fast-paced environment, like to tackle complex challenges, excel
at swiftly delivering impactful solutions while iterating based on user
feedback, and are able to influence and align multiple teams around a shared
scientific vision.

Requirements

• PhD, or Master's degree
• 4+ years of applied research experience
• Experience working across teams and influencing teams that are not your own
• Experience with any programming language such as Python, Java, C++
• 6+ years of building machine learning models or developing algorithms for business application experience
• Knowledge of standard speech and machine learning techniques
• PhD in CS, CE, ML, or related field with 4+ years of relevant post-PhD research experience; or Master's degree with 7+ years of equivalent experience
• Deep expertise in state-of-the-art LLM architectures, training, evaluation, and post-training techniques (SFT, DPO, RLHF, RLAIF)
• Proven track record of delivering scientifically complex solutions into production

Nice To Haves

• Experience using Unix/Linux
• Experience in building speech recognition, machine translation and natural language processing systems
• Experience in patents or publications at top-tier peer-reviewed conferences or journals

Responsibilities

• develop novel algorithms and modeling techniques to advance the state of the art with LLMs
• delivering industry-leading scientific research and applied AI for multi-lingual applications
• accelerate advances in text, speech, and vision domains
• delivering impactful solutions while iterating based on user feedback
• influence and align multiple teams around a shared scientific vision

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
• Education Level: Ph.D. or professional degree