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Samyuth Sagi

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Advancing conversational task assistance: the second Alexa Prize TaskBot challenge

Eugene Agichtein, Michael Johnston, Anna Gottardi, Lavina Vaz, Cris Flagg, Yao Lu, Shaohua Liu, Sattvik Sahai, Giuseppe Castellucci, Jason Ingyu Choi, Prasoon Goyal, Di Jin, Saar Kuzi, Nikhita Vedula, Lucy Hu, Samyuth Sagi, Luke Dai, Hangjie Shi, Zhejia Yang, Desheng Zhang, Chao Zhang, Daniel Pressel, Heather Rocker, Leslie Ball, Osman Ipek, Kate Bland, James Jeun, Oleg Rokhlenko, Akshaya Iyengar, Arindam Mandal, Yoelle Maarek, Reza Ghanadan

Alexa Prize TaskBot Challenge 2 Proceedings

2023

Since its inception in 2016, the Alexa Prize program has enabled hundreds of university students and faculty to explore and compete in the development of conversational agents through the SocialBot Grand Challenge, whose goal is to build agents capable of conversing coherently and engagingly with humans on popular topics. As conversational agents attempt to assist users with increasingly complex tasks,

Related: Alexa Prize TaskBot Challenge 2 winner announced
Advancing open domain dialog: The Fifth Alexa Prize SocialBot Grand Challenge

Michael Johnston, Cris Flagg, Anna Gottardi, Sattvik Sahai, Yao Lu, Samyuth Sagi, Luke Dai, Prasoon Goyal, Behnam Hedayatnia, Lucy Hu, Di Jin, Patrick Lange, Shaohua Liu, Sijia Liu, Daniel Pressel, Hangjie Shi, Zhejia Yang, Chao Zhang, Desheng Zhang, Leslie Ball, Kate Bland, Shui Hu, Osman Ipek, James Jeun, Heather Rocker, Lavina Vaz, Akshaya Iyengar, Yang Liu, Arindam Mandal, Dilek Hakkani-Tür, Reza Ghanadan

Alexa Prize SocialBot Grand Challenge 5 Proceedings

2023

Creating conversational dialog systems that are able to converse naturally and engagingly with humans on any topic remains one of the fundamental challenges of artificial intelligence. The Alexa Prize SocialBot Grand Challenge was launched in 2016 to take on the problem of enabling conversational systems to support natural, sustained, coherent, and compelling open-domain dialog. The competition enables

Related: Alexa Prize SocialBot Grand Challenge 5 winners announced

A decade of database innovation: The Amazon Aurora story

Staff writer

August 21, 2025

From reimagining storage to serverless computing, Aurora continues to push the boundaries of what's possible in database technology.

Cloud and systems
Amazon builds first foundation model for multirobot coordination

Joey Durham

August 11, 2025

Trained on millions of hours of data from Amazon fulfillment centers and sortation centers, Amazon’s new DeepFleet models predict future traffic patterns for fleets of mobile robots.

Robotics
A better path to pruning large language models

Kai Zhen

August 8, 2025

A new philosophy for developing LLM architectures reduces energy requirements, speeds up runtime, and preserves pretrained-model performance.

Conversational AI

Applied Scientist III, Amzn Shipping-Prd & Tech, Amzn Shipping-Prd & Tech

IN, HR, Gurugram

Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help… Read more

Senior Applied Scientist, FireTV

US, WA, Seattle

Do you want to re-invent how millions of people consume video content on their TVs, Tablets and Alexa? We are building a free to watch streaming service called Fire TV Channels (https://techcrunch.com/2023/08/21/amazon-launches-fire-tv-channels-app-400-fast-channels/). Our goal is to provide customers with a delightful and personalized experience for consuming content across News, Sports, Cooking, Gaming, Entertainment, Lifestyle and more. You will work closely with engineering and product stakeholders to realize our ambitious product vision. You will get to work with Generative AI and other state of the art technologies to help build personalization and recommendation solutions from the ground up. You will be in the driver's seat to present… Read more

Applied Scientist, Artificial General Intelligence

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… Read more

Applied Scientist II, Alexa AI

IN, KA, Bengaluru

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key responsibilities include: - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. - Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. - Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. - Engage in effective technical communication (written & spoken) with coordination across teams. - Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. - Publish research papers in… Read more

Applied Scientist, Translation Services

US, WA, Seattle

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you! At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other… Read more

Data Scientist, AWS Industries

GB, London

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business… Read more

Principal Applied Scientist, Autonomous AI, Sponsored Products Ads

US, CA, Palo Alto

Amazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of GenAI/LLM powered self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. This role will be… Read more

Sr. Applied Scientist, Advertising Incrementality Measurement

US, CO, Boulder

Do you want to lead the Ads industry and redefine how we measure the effectiveness of the WW Amazon Ads business? Are you passionate about causal inference, Deep Learning/DNN, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be an Applied Science leader within our Advertising Incrementality Measurement science team! Key job responsibilities As an Applied Science leader within the Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing on key workstreams within our overall causal measurement science vision. In particular, you will lead the science development of our Deep Neural Net (DNN) ML model, a… Read more

Data Scientist, Amazon Advertising

US, WA, Seattle

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Data Scientist on this team you will: - Lead Data Science solutions from beginning to end. - Deliver with independence on challenging large-scale problems with complexity and ambiguity. - Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. - Build Machine Learning and… Read more

Applied Scientist, Seller Fees Science & Tech

US, WA, Seattle

The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale. We're seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to • Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products • Pioneer novel applications… Read more

Samyuth Sagi

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