Machine Learning Science

The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.If you’re interested in our particular philosophy of AI progress, reach out via AGI-SFLab-Jobs@amazon.com.Key job responsibilities- Develop cutting edge multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automation- Work in a joint scrum with engineers for rapid invention, develop cutting edge automation agent systems, and take them to launch for millions of customers- 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 teamBASIC QUALIFICATIONSPhD, or Master's degree and 5+ years of applied research experience3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learning ...

Amazon is looking for innovative and experienced Applied scientists to join its Frontier AI & Robotics team. As an Applied Scientist in this team, you will lead and support the development of robotics foundational models for decision-making, focusing on tasks from perception to manipulation. You will collaborate with scientists and engineers to design new deep learning algorithms, refine model architectures, and explore reinforcement learning strategies to build general, flexible robots that operate effectively in the real world. Your work will balance forward-looking research with practical application, working closely with platform teams to deploy your models and algorithms into production, in order to ensure that our robotic systems that are scalable and robust enough for our dynamic real-world environments. Your contributions will drive innovation in robotics at scale and help shape the future of AI in Amazon’s autonomous systems. A day in the lifeAmazon 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 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!About the teamOur mission is to push the boundaries of robotics by creating and deploying best-in-class AI agents that seamlessly integrate multimodal inputs like images, videos, catalog data, and sensor data in order to most effectively perceive as well as interact with the world. Our systems are deployed in real-world applications at scale, making scalability a core focus of our work. We combine simulated and real-world data to develop state-of-the-art robotics foundation models, leveraging pre-training and fine-tuning techniques to ensure our models are robust and capable of handling diverse deployment scenarios. Our team is small, but our ambitions are big. Above all, we value creativity, effective communication, and an ability to provide the insights that will move us toward our goals. BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience building machine learning models or developing algorithms for business application- Experience applying theoretical models in an applied environment ...

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Scientist to join our Applied AI team to work on LLM-based solutions. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Key job responsibilitiesYou will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. A day in the lifeOn our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. BASIC QUALIFICATIONS 7+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with large language models and their architectures, and deep learning ...

Come and be part of the International Seller Services (ISS) Central Analytics Data Engineering (DE) team and work on solving cutting edge GenAI solutions!We are a team of DEs who support Applied Scientists, Data Scientist, and Economists who experiment, research, and turn machine/deep learning and AI research into great products for our customers.ISS is seeking a smart, highly-motivated, and experienced ML Engineer to join our team. In this role, you'll help us create the right Data and ML infrastructure.As a ML Data Engineer, you will provide technical expertise, lead ML engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You carry projects from proof-of-concept to deployment and serving with a high standard for model maintenance and operations. You orchestrate complex and/or distributed modeling systems to unlock new ML capabilities for your customers.You are passionate about working with huge unstructured and structured datasets and have experience with the organization and curation of data for analytics and model training. You have a strategic and long term view on architecting advanced data eco systems.You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.You will have the opportunity to work with scalable model development tools using SageMaker, AWS, and Docker. You will bring in techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to state-of-the-art deep neural network models on diverse types of signals.Key job responsibilitiesIn this role, you have the opportunity to:- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.- Develop and deploy models and pipelines that scale- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Collaborate with Applied Scientists, Data Scientists, Data engineers to help adopt best practices in ML system creation, Experimentation Setup and documentation- Identify opportunities in existing data/ML solutions for improvementsExample projects:- Setting up a Dev environment for experimenting multiple embedding models for RAG setup-Implement a robust experimentation platform to test, iterate, and optimize the Conversation Assistants' performance across key RAG metrics- Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization- Integrating disparate ML solutions into cohesive customer experiencesBASIC QUALIFICATIONSExperience with machine learning techniques such as pre-processing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.2+ years of non-internship professional ML-software development experienceProgramming experience with at least one modern language such as Python,Java, C++, or C# including object-oriented design2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.Experience in building production quality and large scale deployment of applications related to NLP and ML ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- 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 ...

At Amazon Robotics, we design advanced robotic systems capable of intelligent perception, learning, and action alongside humans, all on a large scale. Our goal is to develop robots that increase productivity and efficiency at the Amazon fulfillment centers while ensuring the safety of workers.We are seeking an Applied Scientist to develop innovative and scalable solutions in motion planning for complex robotic systems. In this role, you will collaborate with a world-class team of experts in perception, machine learning, motion planning, and feedback controls to innovate and develop solutions for complex real-world problems.As part of your work, you will investigate applicable academic and industry research to develop, implement, and test solutions that support product features. You will also design and validate production designs. To succeed in this role, you should demonstrate a strong working knowledge of physical systems, a desire to learn from new challenges, and the problem-solving and communication skills to work within a highly interactive and experienced team. Candidates must show a hands-on passion for their work and the ability to communicate their ideas and concepts both verbally and visually.Key job responsibilities- Develop and optimize motion planning and trajectory generation algorithms for various robotic applications- Design and implement real-time control strategies for closed loop robotic systems- Conduct simulations and experiments to validate the performance of motion planning algorithms- Collaborate closely with software engineering teams to ensure scalable, real-time implementation of algorithms- Partner with cross-functional engineering teams to deploy algorithms from initial prototyping to production-level implementationA day in the lifeAmazon offers a full range of benefits for 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 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!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience- Experience programming in Java, C++, Python or related language- 3+ years of building machine learning models or developing algorithms for business application experience- Experience applying theoretical models in an applied environment- Experience in patents or publications at top-tier peer-reviewed conferences or journals- 3+ years of industry or academic research experience in applied research and development in robotics, with a focus on motion planning for robotic systems. ...

Alexa International Tech (AIT) team 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. Key job responsibilitiesAs an Applied Scientist with the AIT 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 assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 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 ...

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to eliminate systemic defects and prevent future issues.As a Sr. Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll lead the development of innovative solutions that detect and organize issues, identify root causes, and route them to resolving teams across the company. You will leverage a spectrum of scientific techniques across both classical ML and Natural Language Processing/Generative AI (NLP/GenAI) to comb over our billions of customer interactions (using a combination of media). In this role, you will collaborate with cross-functional teams (Product, Engineering, Program) and contribute to advancing the state of defect elimination research. Key job responsibilities- Deliver solutions to the core business problems and influencing business partners- Research and develop modeling techniques for NLP, DL, and ML- Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)- Develop scientific talent on the teamA day in the lifeAmazon 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:* Medical, Dental, and Vision Coverage* Maternity and Parental Leave Options* Paid Time Off (PTO)* 401(k) Plan 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 applyBASIC QUALIFICATIONS- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field- 5+ years of building deep learning or machine learning models for business application experience- Deep knowledge in one or more areas of machine learning or deep learning- Proficient with common ML and DL frameworks such as PyTorch- Experience programming in Java, Python or related language ...

Are you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and techniques to solve world's most challenging problems in? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail?Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it.The SCOT Lab team within SCOT Forecasting is responsible for designing and executing the inference and experimentation systems that measure the impact of SCOT initiatives. We are looking for senior applied scientists to drive innovation in SCOT by developing/building a new scientific approach and pushing our system further upstream in the innovation process. Key responsibilities of a Research Scientist in IPC Lab include: - Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation - Working with technical and non-technical customers to design experiments and communicate results - Collaborating with our dedicated software team to create production implementations for large-scale data analysis - Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business - Presenting research results to our internal research community - Leading training and informational sessions on our science and capabilities - Your contributions will be seen and recognized broadly within Amazon, contributing to the Amazon research corpus and patent portfolio.To help describe some of our challenges, we created a short video about at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive, innovative technology, reinventing an industry? Do you apply Machine Learning to big data problems? Are you excited by analyzing and modeling terabytes of data that solve real world problems? We love data and have lots of it. We’re looking for an engineer capable of using machine learning and statistical techniques to create solutions for non-trivial, and arguably, unsolved problems. We are working on revolutionizing the way Amazonians work and collaborate. Our team is on a mission to transform productivity through the power of advanced generative AI technologies. In pursuit of this mission we are seeking a motivated Machine Learning Engineer to join our team. The successful candidate will be responsible for developing, implementing, and optimizing machine learning models that will drive our generative AI initiative. This role involves close collaboration with data scientists, software engineers, and UX/UI designers to create a seamless and context-aware AI solution that enhances productivity across various user personas within Amazon.You will join a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. The role will challenge you to think differently, hone your skills, and invent at scale. We're looking for engineers who obsess over technical details but can delight customers by continually learning and building the right products. You will help to invent the future of advertising.Technical Skills needed:-- Programming Languages: Proficiency in Python, including libraries such as TensorFlow, PyTorch, and scikit-learn.- Experience with R or Java is a plus.- Machine Learning and AI: Strong understanding of machine learning algorithms and frameworks. - Experience with natural language processing (NLP) techniques and models.- Familiarity with reinforcement learning and its applications.- Knowledge of supervised and unsupervised learning methods.- Data Preprocessing and Analysis: Expertise in data cleaning, normalization, and transformation. Ability to perform feature engineering and selection. Proficiency in data analysis tools and techniques.- Model Development and Evaluation: Experience in developing, training, and fine-tuning machine learning models. Knowledge of model evaluation metrics such as accuracy, precision, recall, F1-score, and AUC-ROC. Familiarity with cross-validation techniques.- Big Data Technologies: Experience with big data tools and frameworks like Hadoop, Spark, or Kafka. Proficiency in handling large datasets and optimizing data pipelines.- API and Microservices Development: Experience in developing and deploying RESTful APIs. Familiarity with microservices architecture and related technologies.- Cloud Platforms: Experience with cloud platforms such as AWS. Proficiency in using cloud-based machine learning and data storage services.- Security and Privacy: Understanding of data privacy regulations and best practices. Experience with data anonymization techniques and secure data handling.Key job responsibilities1. Model Development: Design, develop, and implement machine learning models, particularly focusing on natural language processing (NLP) and reinforcement learning techniques.2. Data Preprocessing: Perform data cleaning, normalization, and feature engineering to prepare datasets for model training.3. Model Training: Train and fine-tune machine learning models to achieve high accuracy and robustness.4. Integration: Work with the software engineering team to integrate ML models into the middleware that interfaces with Amazon’s GenAI offerings.5. Performance Evaluation: Use cross-validation and various performance metrics (e.g., precision, recall, F1-score) to evaluate model performance and ensure their reliability.6. Continuous Improvement: Implement reinforcement learning strategies to ensure the AI system continuously learns and improves from user interactions.7. Collaboration: Collaborate with data scientists, software engineers, and UX/UI designers to ensure the models meet user requirements and integrate seamlessly with existing tools.8. Documentation: Document model architectures, training processes, and evaluation results to ensure transparency and reproducibility.A day in the life - Spending time designing and implementing machine learning models, with a particular focus on NLP and reinforcement learning applications - Conducting data preprocessing tasks including cleaning datasets, normalizing values, and engineering features to prepare data for model training - Running model training sessions and fine-tuning parameters to optimize model performance - Working closely with software engineers to integrate machine learning models into Amazon's GenAI middleware systems- Testing and evaluating model performance using various metrics and cross-validation techniques- Implementing and monitoring reinforcement learning mechanisms to capture user feedback and improve system performance- Attending collaboration sessions with cross-functional team members including data scientists, software engineers, and UX/UI designers- Maintaining detailed documentation of model architectures, training procedures, and evaluation resultsAbout the teamWe are a team part of Enterprise Engineering at Amazon focused on revolutionizing how Amazonians work and collaborate through advanced generative AI technologies. Our mission is to transform productivity across the organization by developing AI solutions. We are highly motivated, collaborative, and maintain an entrepreneurial spirit with a bias for action.Our team brings together diverse talents including data scientists, machine learning engineers, software engineers, and UX/UI designers, all working in concert to create innovative AI solutions. We value technical excellence while maintaining a fun-loving atmosphere that encourages creativity and innovation.We operate at the forefront of AI technology, tackling complex challenges that require innovative thinking and technical expertise. Our team culture emphasizes continuous learning, invention at scale, and a deep commitment to delighting our customers through transformative solutions. If you're passionate about pushing the boundaries of what's possible with AI while working in a collaborative, fast-paced environment, you'll find yourself at home with our team.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading generative AI technologies to derive insight at scale - all in a challenging, fast-paced environment? We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit’s Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.Key job responsibilities- Work with audit teams, product managers, engineers, and more senior scientists to contribute to machine learning and generative AI products that have degrees of ambiguity, scale, and complexity.- Perform statistical analyses and modeling using SQL and scripting languages like Python/R with big data to develop insights and recommendations to improve internal audit cycles.- Assist in architecting secure and scalable solutions leveraging AWS machine learning, AI and Generative AI related services, working closely with auditors to understand their business needs.- Contribute to the full development cycle of machine learning models and generative AI solutions: design, prototype, impact assessment, A/B testing, production deployment, maintenance, and improvement.- Help maintain the team's ML Infrastructure, including production and experimentation environments.- Collaborate with software development engineers on scientific projects.A day in the lifeAs an Applied Scientist, you will contribute to the design and execution of a product roadmap that connects risk to the business. You will help build products and services centered around large language models to improve audit effectiveness and efficiency. The ideal candidate will have a strong foundation in data science and AI, with the potential to grow into an expert in production architecture. We're looking for a self-starter who is comfortable with some ambiguity, has strong attention to detail, and can work effectively in a dynamic environment. This role offers an exciting opportunity for a motivated individual to grow their skills in AI and contribute to impactful projects in a dynamic environment.About the teamInternal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience. BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse- Experience researching about machine learning, deep learning, NLP, computer vision, data science ...

Amazon's Pricing & Promotions Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing and Promotions Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.This role requires an individual with exceptional machine learning and reinforcement learning modeling expertise, excellent cross-functional collaboration skills, outstanding business acumen, and an entrepreneurial spirit. We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.Key job responsibilities- See the big picture. Understand and influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques- Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale- Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems- Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.- Successfully execute & deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.A day in the lifeWe are hiring an applied scientist to drive our pricing optimization initiatives. The Price Optimization science team drives cross-domain and cross-system improvements through:* invent and deliver price optimization, simulation, and competitiveness tools for Sellers. * shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs. * Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.* Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)Price is a highly relevant input into many partner-team architectures, and is highly relevant to the customer, therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.About the teamAbout the team: the Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 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- 2+ years of hands-on predictive modeling and large data analysis experience- Experience in solving business problems through machine learning, data mining and statistical algorithms ...

The Amazon AGI SF Lab is focused on developing new foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the commitment to pursue high-risk, high-payoff research.Key job responsibilities- Collaborate across AGI Autonomy to align team goals with the broader Autonomy research program- Identify and prioritize research opportunities to unlock the next set of agent capabilities- Mentor and guide team members to achieve their career goals and objectives- Other management activities, e.g., communicating with stakeholders, structuring work, and growing the teamBASIC QUALIFICATIONS- 5+ years of experience in formal management roles (i.e., with at least 3 direct reports)- Expertise in machine vision, autonomous systems, natural language processing, or related AI/ML field- Track record of successful projects in an applied research context ...

We are seeking an entrepreneurial, innovative and self-driven Senior Applied Scientist to join our team, and help build a brand new Advertising product together. Your mission will be to leverage science and technology to help hundreds of thousands of independent sellers grow their business on WW Amazon marketplaces attracting new customers while also building customer loyalty. You will use ML modeling to build predictive modeling solutions to help brand owners connect with potential shoppers on Amazon websites and video channels (IMDB, FireTV, Twitch, Amazon.com etc). You can change the life of local business owners while taking ownership to solve technical challenge from delivering millions of global advertising campaigns and generating brand insights and recommendations for all our advertisers with superfast response time. The Sponsored Brands Advertiser Control team is a versatile environment, with a wide variety of challenges. We guide advertisers to make informed decisions by recommendations, sharing insights, and forecasts. We help advertisers deliver effective campaigns automatically by optimizing campaign settings on behalf of them. We enable advertisers to achieve brand advertising goals with maximum efficiency. We have the opportunity to deliver social impact, own technical problems, thought diversity, and business impact. As an Applied Scientist on this team, you will: - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- 1+ years of building models for business application experience ...

AWS GenAI Innovation Center is (GenAIIC) is on the forefront of GenAI innovation with a mission to accelerate production adoption of Generative AI across global customers. The organization is staffed with specialized strategists and ML scientists to solve the most complex problems. In this role you will be an innovative strategist who thinks big to help grow the partner strategy team. You will mentor other team members and contribute to the critical partner and business growth strategy and operational mechanisms.Partners of all types across System Integrator (SI), Independent Software Vendor (ISV), model providers are critical to our ability to achieve scale and to drive customer success. As the principal partner strategist, you will continue to iterate on strategy, help the partner strategy leader to build out cohesive plans and develop new mechanisms as needed for all partners. Mentor other members on the team to collaborate with partners and internal cross-functional organizations to deliver on the business goals. You will proactively identify and evaluate new partners to bring to GenAIIC to achieve scale and speed internally and accelerate production adoption for customers.Key job responsibilities• Execute and expand partner network• Accelerate partner delivery to scale engagements and ARR for GenAIIC to deliver on business goals• Define and refine path to production with Partners• Help to define and execute strategies for ISV partners and 3P model providers• Iterate on existing programs and mechanisms and invent new as required • Proactively drive GTM solutions with partners (SI, ISV) to accelerate GenAI delivery internally and for customers• Internally, you will help to continue building and growing the partner team in GenAIIC• Optimize team structure as we grow• Collaborate with strategists and scientists delivery teams to drive partner engagement mechanism to continue to improve on engagement velocity and production adoption across all categories of partners• Collaborate with delivery teams and bring partners to them to build growing partner awareness and closer relationships• Drive the end-2-end process from POC to production for Partners with ProServe in mind• Externally, you will help to iterate and the grow partner network• Facilitate or contribute to business review cadence with partners and track joint business outcome• Maintain executive relationship with partner organizationsAbout the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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.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. 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’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. BASIC QUALIFICATIONS• 10+ years of technical implementation and leadership experience• 10+ years experience with SIs and/or large enterprise organizations• 7+ years experience leading projects and initiatives • Experience developing complex solutions with C-suite customers and internal stakeholders ...

Amazon is hiring a Principal Applied Scientist (PAS) to join the Search and Conversational Shopping AI team. In this role, you will be responsible for the architectural design and technological advancements of the customer experience of Amazon Rufus, our next-generation, AI-driven search and shopping assistant. This innovative role focuses on developing innovative search and shopping experiences, utilizing large language models, generative AI, and advanced machine learning technologies.Key job responsibilitiesAs a Principal Applied Scientist in Search, you will possess deep expertise in machine learning and data science, with specializations in information retrieval, recommendations, ranking, large language models, and generative AI across various modalities. The role involves solution alignment across multiple partners, such as front-end, relevance, ranking, and personalization teams. You will collaborate with teams of scientists and engineers to translate business and functional requirements into concrete deliverables, leading strategic efforts to enhance upper funnel search customer experiences. You will design integrated solutions efficiently delivered across all contributing stakeholder teams, driving alignment among these tech teams in the short term and influencing their future roadmaps in the long term to support our experimentation roadmap. Responsible for overall solution quality, this role will focus on improving experimentation velocity and, in the future, facilitating partner development on upper funnel customer experiences. This role ensures we are building scalable solutions with smart checks on data quality centrally, navigating the ambiguity inherent in this new area. You will make critical judgements to select the best technical solutions for both short and long-term experimentation objectives, bringing clarity from ambiguity, structuring tradeoff decisions, and effectively communicating on technically contentious topics. Finally, you will engage with academic partners to augment our in-house talent with access to the latest research and expert mentoring.About the teamThe vision of the Search and Conversational Shopping AI Team is to revolutionize the search and shopping experience through technological innovations in advanced AI and machine learning. We focus on enhancing query understanding, navigational and upper funnel search, developing LLM-based AI assistants, and more. Our goal is to create intuitive, personalized search interfaces that seamlessly connect customers with products, enhancing satisfaction, engagement, and transforming e-commerce interactions.BASIC QUALIFICATIONS1. Graduate degree in Computer Science, Math, or a related field.2. Experience in developing AI, ML, and NLP systems, with a proven ability to deliver projects successfully.3. Skilled in managing large, cross-functional projects with evolving requirements from start to finish.4. Strong foundations in data structures, algorithm design, and complexity analysis.5. Ability to strategize for ML platforms focusing on recommender systems, ranking, and customer interaction features.6. Exceptional ability to understand customer needs, propose alternative technical and business solutions, and deliver on tight deadlines.7. Record of peer-reviewed scientific publications in applied science. ...

Are you interested in shaping the future of Advertising and B2B Sales? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.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 are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top science talent to build new, science-backed services to drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.As a part of our team, you will bring deep expertise in quantitative modeling (recommender systems, reinforcement learning, and/or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders, leaders and customers. We are seeking a true owner who can provide science leadership, establish a vision and charter for the team, foster a collaborative and innovative team environment, and manage a team of scientists and software engineers to drive long-term success. You can build a team, launch AI models in production, write vision documents and build scalable team mechanisms.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding.Key job responsibilities- Drive end-to-end applied science projects that have a high degree of ambiguity, scale and complexity- Provide technical / science leadership related to large language models, generative image, Natural Language Processing (NLP) and Reinforcement Learning (RL) .- Research new and innovative Machine Learning / Artificial Intelligence approaches.- Recruit high performing Applied Scientists to the team and provide mentorship.- Establish team mechanisms, including team building, planning, and document reviews.About the teamSales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- PhD, or Master's degree + 4 years of CS, CE, ML or related field experience- 10+ years of building AI models for business applications ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! BASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 7+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- 5+ years of applied research experience ...

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation.You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!Key job responsibilities* Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.* Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams.* Mentor and develop junior scientists on the teamBASIC QUALIFICATIONS- 3+ years of building models for business application experience- 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 ...