Senior Applied Scientist, Alexa International

Amazon • Bellevue, WA

1d • Onsite

About The Position

The Alexa International Science team is seeking a Senior Applied Scientist to contribute to the development of industry-leading technology using Large Language Models (LLMs) and multimodal systems. This role requires strong knowledge in deep learning and generative models. At this senior level, the individual will be responsible for driving cross-team scientific strategy, influencing partner teams, and delivering impactful solutions across Alexa's international products and services. The scientist will develop novel algorithms and modeling techniques to advance LLMs, focusing on scientific research and applied AI for multi-lingual applications. The work will directly impact global customers through products and services supporting Alexa+. The role involves leveraging Amazon's data sources and computing resources to advance text, speech, and vision domains. The ideal candidate has a solid understanding of machine learning, speech/natural language processing, LLM architectures, evaluation, and tooling, with a passion for innovation in this rapidly evolving field. They should be adept at working in a fast-paced environment, tackling complex challenges, delivering solutions, iterating based on feedback, and aligning multiple teams around a scientific vision.

Requirements

• PhD, or Master's degree
• 4+ years of applied research experience
• Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
• 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)

Nice To Haves

• 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.
• Deliver industry-leading scientific research and applied AI for multi-lingual applications.
• Leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in text, speech, and vision domains.
• Drive cross-team scientific strategy.
• Influence partner teams.
• Deliver solutions that have broad impact across Alexa's international products and services.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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: Senior