subscribe_icon.png Newsletter
Social
Author

Daniil Sorokin

Applied Scientist

Latest news

Work with us

See more jobs See more jobs
Senior Applied Scientist, Artificial General Intelligence
US, CA, Sunnyvale
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities. As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
Applied Scientist III, Mexico Consumer
MX, DIF, Mexico City
Do you like working on projects that are highly visible and are tied closely to Amazon’s growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? The Amazon International Technology Team is hiring Applied Scientists to work in our Machine Learning team in Mexico City. The Intech team builds International extensions and new features of the Amazon.com web site for individual countries and creates systems to support Amazon operations. We have already worked in Germany, France, UK, India, China, Italy, Brazil and more. Key job responsibilities About you You want to make changes that help millions of customers. You don’t want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in analytics, machine learning, LLMs and Agentic AI, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate and keep costs low. You have great judgment and communication skills, and a history of delivering results. Your Responsibilities - Define and own complex machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing. - Design, implement, and evolve Agentic AI systems that can autonomously perceive their environment, reason about context, and take actions across business workflows—while ensuring human-in-the-loop oversight for high-stakes decisions. - Influence the broader team's approach to integrating machine learning into business workflows. - Advise leadership, both tech and non-tech. - Support technical trade-offs between short-term needs and long-term goals.
Applied Scientist, AGI
US, CA, Sunnyvale
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities. As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
Applied Scientist, Artificial General Intelligence
US, WA, Bellevue
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on methodologies for Generative Artificial Intelligence (GenAI) models. As an Applied Scientist, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI. You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training and post-training workflows and build efficient models. You will support the system architecture and the best practices that enable a quality infrastructure. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Pre-training and post-training multimodal LLMs - Scale training, optimization methods, and learning objectives - Utilize, build, and extend upon industry-leading frameworks - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
Machine Learning Scientist, International Machine Learning
AU, VIC, Melbourne
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store. At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence. As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science. * You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. * In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams. * You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. Key job responsibilities - You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. - In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams. - You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. About the team Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Applied Scientist, Traffic Engineering
US, CA, Sunnyvale
We are seeking an innovative Applied Scientist to join Amazon's Traffic Engineering organization in developing next-generation bot detection and mitigation capabilities. You will lead the scientific development of real-time anomaly detection systems to identify and counter sophisticated automated threats, including LLM-powered agents, protecting Amazon's websites and subsidiaries worldwide. This is a critical challenge at the intersection of ML and cybersecurity. With GenAI/LLM-powered bots now capable of mimicking human behavior, evading traditional detections, and monetizing attacks, we must revolutionize our approach from reactive to real-time protection. You'll pioneer ML systems that can detect threats in milliseconds instead of days, protecting Amazon assets and compute while ensuring legitimate bot traffic continues to benefit our business. This role offers the unique opportunity to build first-of-its-kind real-time behavior-based ML models that will safeguard Amazon's global infrastructure. Your work will directly impact millions of customers by ensuring the integrity and availability of Amazon's digital presence while advancing the state-of-the-art in automated threat detection and response. Key job responsibilities - Design and develop advanced ML models for real-time detection of programmatic access patterns and anomalous behaviors - Pioneer new approaches in identifying LLM-based agents and emerging automated threats - Drive innovation in applying ML/AI techniques to traffic analysis, classification, pattern recognition and automated response systems - Collaborate with cross-functional teams to implement layered defense strategies - Mentor junior scientists and contribute to the team's technical direction About the team Our team is embarking on a journey to develop the next generation of website traffic management software that protects customers experience. Your work will be highly visible and is instrumental in helping Amazon serve record breaking amounts everyday including flagship events such as Prime Day. If you love building high performance software that's focused on best-in-class networking, data processing, security, and leverages AWS technologies, we have the job for you.
Sr. Manager of Applied Science, Customer Service
US, CA, Santa Clara
We are seeking a Senior Manager of Applied Science for the Customer Service Associate-facing AI team to lead the development of AI capabilities for Customer Service Associate-facing tooling, including those that provide customer contact context, identify issues and recommend solutions, generate customized responses matching associate communication styles, deliver pattern analysis and coaching insights, and route contacts optimally amongst AI associates and individual Customer Service associates. The Applied Science Manager will own developing and executing the science strategy and roadmap while collaborating with other product engineering teams to implement these capabilities across Amazon. They are also responsible for hiring and developing the science/MLE team to support the mission. Key job responsibilities - Lead the development and implementation of AI capabilities for Routing, customer service (CS) contact context summarizer, and resolution recommender, CS Operations coaching insight extractor, and CS contact router amongst AI agents and CS associates. - Lead the scientific strategy and roadmap for Router, CSA resolver, One summarizer, and entity predictor. - Partner with CS product and operations leaders to integrate these AI capabilities into the CS associate process and customer journey. - Guide team development and influence organization-level AI strategy in collaboration with senior leadership.
Applied Scientist, Generative AI Innovation Center
KR, Seoul
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will * Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges * Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production * Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization * Provide customer and market feedback to product and engineering teams to help define product direction A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. #aws-korea-proserv-ap #AWSKOREA
Principal Applied Scientist , Amazon Customer Service
US, WA, Seattle
We're seeking an exceptional Principal Applied Scientist to join Amazon's Digital Devices and Alexa Support (D2AS) Customer Service organization. In this role, you'll lead the development and implementation of SOTA AI/machine learning solutions that directly impact millions of customer interactions daily. You'll be at the forefront of revolutionizing how Amazon serves its customers through AI-powered experiences. You will lead scientific invention and development of advanced AI systems while providing crucial technical leadership across multiple domains. Your key deliverables will encompass designing and developing advanced AI-powered solutions for Customer Experience (CX) optimization, deploying scalable AI systems for customer service automation, and driving innovation in conversational AI and predictive analytics. In this role, you will pioneer novel approaches to complex customer experience challenges, drive research initiatives in LLMs and dialogue systems, and lead technical strategy development for CX technology initiatives. Additionally, you will mentor and develop applied scientists and engineers, drive cross-functional collaborative efforts , and influence senior leadership on technical direction and strategy. Key job responsibilities - Design and develop advanced AI/ML solutions for customer experience optimization - Architect scalable, production-grade AI systems for customer service automation - Drive innovation in conversational AI, natural language processing, and predictive analytics - Lead technical strategy and roadmap development for CX technology initiatives - Pioneer novel approaches to complex customer experience challenges - Drive research initiatives in areas such as LLMs, dialogue systems, and personalization - Publish and present findings at top-tier conferences and journals - Collaborate with research teams across Amazon - Mentor and develop applied scientists and engineers - Drive cross-functional collaboration with product, engineering, and operations teams - Influence senior leadership on technical direction and strategy A day in the life We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Our team is responsible for revolutionizing Device, Digital and Alexa Support customer service for Amazon as it serves hundreds of millions of customers globally. We leverage Gen AI/ML technologies to create seamless, personalized, and efficient customer experiences. The Science and Data team (SDT) consists of Research Science, Applied Science, Data Engineering, and MLOPs professionals responsible for developing Gen AI solutions, experimentation, science modeling and generating data-driven insights to drive business performance and customer contact experience. Our work directly impacts customer satisfaction, operational efficiency, and Amazon's bottom line. The team builds state-of-the-art Gen AI/ML solutions for customer support in multi-lingual and multi-modal ( chat/image/voice) context, manages massive datasets, generates analytic insights, data pipelines that enable self-service analytics, engineering intelligent operational processes to create personalized customer experiences, and oversees the technical and operational aspects of analytical tools and platforms used by the entire D2AS/CS organization.
Applied Scientist, Worldwide Returns & Recommerce - Science
IN, TS, Hyderabad
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities * Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. * Use SQL to query and analyze the data. * Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. * Use machine learning and analytical techniques to create scalable solutions for business problems. * Research and implement novel machine learning and statistical approaches. * Mentor interns. * Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.
See more jobs
View from space of a connected network around planet Earth representing the Internet of Things.
Get more from Amazon Science
Subscribe to our monthly newsletter

Amazon.com | Conditions of Use | Privacy | © 1996-2025 Amazon.com, Inc. or its affiliates

Social