Vienna, Austria
ACL 2025
July 27 - August 1, 2025
Vienna, Austria

Overview

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing.

Sponsorship Details

Platinum
Booth #18

Accepted publications

US, MA, Boston
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI). About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
ES, B, Barcelona
The Community Feedback organization owns the experiences and systems that enable shoppers to provide and review trusted customer-generated content across the shopping journey. We bring together trusted, authentic inputs from the community and surface them with the help of AI so that customers can make effortless, high-confidence, purchase decisions. Features such as Customer Reviews, Content Moderation, and Customer Questions & Answers (Q&A), build a rewarding and engaging experience for creators to share their feedback, providing shoppers with trusted insights based on this feedback to inform their shopping decisions. We offer billions of star ratings and reviews with text, together with hundreds of millions of reviews and Q&A with media. Our vision is to make Amazon the internet’s most trustworthy, helpful, and delightful guide for customers on any shopping mission. Community Feedback materially impacts every retail marketplace, category and selling partner. Our features are a highly visible product, serving hundreds of millions of customers worldwide. Our team was the first to launch a customer-facing experience on Amazon that uses generative AI. Customer Reviews has received an overwhelming press coverage and S-Team visibility due to the launch of Review Highlights” feature - an AI-generated summary of text-based customer reviews. Since then, all customer-generated content has been used to power multiple high-profile experiences across the store such as Amazon’s Shopping AI Assistant (Rufus). The Principal Applied Scientist will be a thought leader and innovator to power this momentum and unlock further future value for customers. This role owns strategic projects in new and ambiguous areas leveraging advance machine learning techniques to create new scalable products. The customer problems to solve for can vary from how to rank and search content across the store, detect and mitigate abuse vectors such as fake reviews, to aggregate and summarize insights to help customers discover, compare, and purchase products at Amazon. This role requires experience and domain knowledge in NLP and ML, together with effective communication and collaboration skills to influence across multiple partnership teams including Search, Personalization, Rufus (Amazon’s Shopping AI Assistant) and Alexa. This position can be located in Barcelona, Madrid, or Berlin. Key job responsibilities As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. You are a hands-on scientific leader you are tackling intrinsically hard problems, whose solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The Community Shopping team is part of the Shopping Discovery & Evaluation team, and our vision is to make Amazon the internet’s most trustworthy, helpful, and delightful guide for customers on any shopping mission. From the moment customers visit our store, we help them find what they are looking for and delight in our vast offering of products and services (Navigation Experience). We create immersive, visual, and personalized shopping experiences that inspire customers to kickstart their next shopping journey (Inspire, Amazon Native Player). We bring together trusted, authentic inputs from the community, and surface those inputs with the help of generative AI, to help customers confidently inform their next purchase (Community Feedback).
GB, Cambridge
You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The Alexa Conversational Modelling Intelligence team is looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers.
US, WA, Bellevue
Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Sr language Data 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 collaborate with fellow Language Data Scientists, Program managers, as well as Stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization. Key job responsibilities Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM Produce and manipulate different types of language data, analyze, and provide efficient solutions Design and lead a data collection; define scope and target, provide a guideline and training, guide teams cross sites to meet the quality bar, and run evaluation of data for hand off Engineer prompts to guide generative AI to produce desired outputs in context Automate operations and perform data analysis using python, or other scripting language. Advocate strict adherence to annotation guidelines Test and deploy changes to Alexa's language understanding codebase Identify and solve production issues that are impacting the Alexa customer experience, Collaborate with other linguists, scientists and designers in creating optimal solutions to elevate the customer experience Own the customer-facing machine learning and deterministic models for a specific domain of features Use modeling tools to bootstrap and test new functionalities