Applied Scientist II, Alexa International Team

Amazon • Bellevue, WA

1d

About The Position

Alexa International is looking for a passionate, talented, and inventive Applied
Scientist to help build industry-leading technology with Large Language Models
(LLMs) and multimodal systems, requiring strong deep learning and generative
models knowledge. You will contribute to developing novel solutions and deliver
high-quality results that impact Alexa's international products and services.

As an 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. Your work will directly impact our international
customers in the form of products and services that make use of digital
assistant technology. You will leverage Amazon's heterogeneous data sources,
unique and diverse international customer nuances and large-scale computing
resources to accelerate advances in text, voice, and vision domains in a
multimodal setup. The ideal candidate possesses a solid understanding of machine
learning, natural language understanding, modern LLM architectures, LLM
evaluation & tooling, and a passion for pushing boundaries in this vast and
quickly evolving field. They thrive in fast-paced environments to tackle complex
challenges, excel at swiftly delivering impactful solutions while iterating
based on user feedback, and collaborate effectively with cross-functional teams.

Requirements

• 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

Nice To Haves

• Experience in professional software development
• PhD in computer science, computer engineering, or related field
• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
• 3+ years of building machine learning models for business application experience

Responsibilities

• Analyze, understand, and model customer behavior and the customer experience based on large-scale data.
• Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants.
• Fine-tune/post-train LLMs using techniques like SFT, DPO, RLHF, and RLAIF.
• Set up experimentation frameworks for agile model analysis and A/B testing.
• Collaborate with partner teams on LLM evaluation frameworks and post-training methodologies.
• Contribute to end-to-end delivery of solutions from research to production, including reusable science components.
• Communicate solutions clearly to partners and stakeholders.
• Contribute to the scientific community through publications and community engagement.

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