Josh Miele, in a purple dress shirt, sits at a desk in an office, he is typing and looking at a computer screen, there are chairs and desks in the background
Josh Miele, an Amazon principal accessibility researcher, was selected a 2021 MacArthur Foundation Fellow. He has spent his career developing tools to make the world more accessible for people who are blind and visually impaired.
Meg Coyle / Amazon

Josh Miele: Amazon’s resident MacArthur Fellow

Miele has merged a lifelong passion for science with a mission to make the world more accessible for people with disabilities.

In September 2021, when Josh Miele, an Amazon principal accessibility researcher, got a text from someone at the MacArthur Foundation requesting a phone call, his heart leapt. For anyone in the arts and sciences, a MacArthur Fellowship, known as the “genius” grant, is akin to winning the lottery. You can’t apply for the $625,000 fellowship; it just arrives, mysteriously, out of the ether with a phone call from the foundation.

For Miele, who is blind and has spent his career developing tools to make the world more accessible for people who are blind and visually impaired, a MacArthur grant had long been a fantastical dream.

Joshua Miele, Adaptive Technology Designer | 2021 MacArthur Fellow

“Everybody has things that they imagine might happen to them,” Miele said. “And some things are more realistic than others. You think, ‘Wouldn’t it be nice to get married, have kids, get a great job at Amazon, and, yes, wouldn’t it be nice to get a MacArthur grant?’ Some dreams you can work on and make happen yourself, and some you have to wait and hope for. I won’t deny that one of my long-time fantasies was that I would get a MacArthur Fellowship.”

Assuming the call was to ask his opinion about a possible recipient, he was ecstatic to learn he was among the 25 2021 fellows selected by the foundation. The five-year grant provides money that recipients can use however they want. For someone like Miele, who spent years in a non-profit accessibility thinktank in an endless quest for grant money, the MacArthur news left him with sweaty palms, ringing ears, and pure joy.

“It was extraordinary,” he declared.

A devotion to accessibility

Yet given his life’s work, the grant was a surprise to no one who knows Miele. After graduating from the University of California, Berkeley with a PhD in psychoacoustics in 2003, Miele worked for 16 years at the non-profit Smith-Kettlewell Eye Research Institute in San Francisco as a principal scientist and researcher. He devoted his life to fostering accessibility for the blind and visually impaired.

Josh using a refreshable braille display in his home office.jpg
Josh Miele using a refreshable braille display in his home office in Berkeley, California.
Stephen Lam/Amazon

He began working with Amazon Lab126, which designs and engineers Amazon devices and services, in 2019. There Miele joined the group of designers and developers who built the Echo family of devices, Kindle, Fire tablets, Fire TV, Amazon Basics Microwaves, and a growing list of innovative products.

His work is with the accessibility team that seeks to make Amazon products intuitively useful for individuals with disabilities.

Related content
Alexa Fund company unlocks voice-based computing for people who have trouble using their voices.

His aim is to ensure that the designers, product managers, and team members have as clear an understanding as possible of the user experience for customers with disabilities.

“What I’m doing is making sure that the folks who are doing the design understand the customers they are designing for,” Miele explained. “That’s a special and important part of the puzzle because some people doing the work don’t have disabilities themselves and don’t innately have the deep understanding of what the customer requirements are.”

Improving Show and Tell

For example, when Miele joined Lab126, the group was working on Show and Tell, an Alexa feature for Echo Show devices that uses the camera and voice interface to help people who are blind identify products. Employing advanced computer vision and machine learning models for object recognition, Show and Tell can be a vital tool in the kitchen of a customer who is blind or has low vision. A person holds up an object and asks, “Alexa, what am I holding?” and gets an immediate answer.

New Amazon Echo Feature Increases Accessibility (With Audio Description) | Amazon News

The project was stymied, however, by the developers’ struggle to match each product perfectly. If they didn’t get a 100-percent match, the team felt they had failed.

Miele helped the team understand that they needed only to provide useful context, even just a word or two, for a person who is blind or visually impaired to identify the product. The team focused on kitchen and pantry items — things that come in cans, boxes, bottles, and tubes. The goal: Recognize items in Amazon’s vast product catalogue, or if that wasn’t possible, recognize brands and logos that could give the customer enough information to know what they held in their hand.

“If I touch a can of something, I know it’s a can,” Miele explained, “but I don’t know if it’s a can of black beans or pineapple. So, if I’m making chili, and I open a can of pineapple, I’m going to be pretty irritated.”

Related content
Gari Clifford, the chair of the Department of Biomedical Informatics at Emory University and an Amazon Research Award recipient, wants to transform healthcare.

“I helped design an interaction model that would look for an exact match,” he added, “but if Alexa didn’t get that, it would look for brand recognition. Alexa would look for logos or text that would offer at least some clue as to what was in the can.”

The team created what he called “a gentle letdown curve.” If Alexa can’t find the exact information, Alexa politely apologizes — but doesn’t give up. “I don’t know what it is, but I saw the words `whole black beans’ on the label,” Alexa says. It isn’t an exact match, Miele noted, at least you know what is in the can, which is still incredibly helpful.

Additionally, Miele worked with the team to create audio feedback where Alexa guides the customer to hold the object in the camera’s field of view. Without that, Alexa might be unable to identify the product and frustration could set in.

“Doing things the right way”

Miele also has provided important input into the team’s braille display support and Braille Screen Input technology.

“The most important thing I do is work with my colleagues to test these experiences with real blind and visually impaired customers,” Miele said. “Usability testing is a fairly well known art, but when you’re testing with specialized populations, like people who are blind or deaf, or people using wheelchairs, there are certain adjustments that you want to make to your research protocol so that you are doing things the right way.”

Related content
Participating teams reported their progress at a workshop earlier this month.

For example, Miele helped the design team understand that it was important that things like consent forms be made accessible.

“Designing research protocols so that people with disabilities are comfortable and properly accommodated is a really important part of research,” Miele said. “The very best way to ensure that the thing you’re designing works for the people you are designing it for is to have people on the team who are going to be customers for that experience.”

A remarkable journey

Miele’s story is a remarkable one, but he discourages others from focusing too much on what happened to him as a child, and instead to consider who he is and what he’s accomplished. He was blinded at age 4 when an assailant in his Brooklyn, New York neighborhood poured sulfuric acid over his head, which blinded and disfigured him.

Josh Miele is seen wearing a suit, sitting in a chair while playing a bass guitar, there is a mic stand and an amp in the foreground
Josh Miele plays bass guitar and has developed a new braille code for writing jazz chord charts.
Barbara Butkus

With the support of incredible parents, teachers and colleagues, he has never thought of himself as being less capable.

He has a full and accomplished life. Miele is married and has two teenage children. He plays the bass guitar and has developed a new braille code for writing jazz chord charts. He is a serious cook and woodworker and loves to hike. He is a proud member of the disability community.

He doesn’t focus on what happened to him because for him, it was simply the challenge life handed him.

“It wasn’t a choice I made,” he said about his positive outlook. “It never even occurred to me to feel sorry for myself. I just wanted to go through life and do the things I was interested in.”

An important epiphany

Miele’s love of science emerged early. He wanted to build rockets, become a space scientist, and explore outer space. Shortly after beginning an undergraduate physics degree at UC Berkeley, he interned with NASA, where he worked in planetary science. It wasn’t until later when he took a job at a software startup named Berkeley Systems, where he worked on some of the first graphical user interface (GUI) screen readers for the blind and visually impaired. That produced an epiphany.

“I realized that the work I was doing in accessibility was both rewarding to me and something that not many people could do at the level I was able to do it,” he recalled. “I thought, ‘There are plenty of people who could be great planetary scientists but there were not a lot of people who could design cool stuff for blind people and meet the needs of the people who were going to use it.’”

Josh Miele, standing, gives advice to a student who is seated during a soldering workshop. Several students are sitting at a large table with soldering equipment.
Josh Miele, seen here leading a soldering workshop, says, “I am blind and that is my superpower in this. I’ve been working in accessibility for a really long time and not just for people who are blind and visually impaired, but for people with all kinds of disabilities."
Jean Miele

His colleague at Berkeley Systems, Peter Korn, was recruited to join the Amazon Lab126 accessibility team in 2013. One of his first moves was to create an external advisory council of disability experts and he asked Miele to join the council. Korn offered council members a peek behind the curtain at some of the lab’s projects. After one of those sessions, Miele took Korn aside and said, “You know, I’d really love to play a bigger role in helping bring some of those technologies you’re talking about to life.”

Korn responded, “Well, I would love to have you.”

Korn, who has been a colleague and friend for 30 years, was among those who were not surprised at Miele’s MacArthur grant.

“I’ve been incredibly impressed by his creativity, his design sense, his energy and passion, and his inventiveness,” Korn said. “He has a really good sense of what somebody who doesn’t understand technology faces.”

“My superpower”

“I am blind and that is my superpower in this,” Miele said. “I’ve been working in accessibility for a really long time and not just for people who are blind and visually impaired, but for people with all kinds of disabilities. I not only have a fairly good understanding of what some of the basic requirements are for a wide range of disabilities, but I also know how to connect with those communities and bring their voices into the conversation with the designers, developers, and product managers.”

I love accessibility. There’s a social justice aspect to it. You’re working on inclusion and accessibility of information.
Josh Miele

After many years in the non-profit sector, Miele is happy with his move to the technology industry.

“I love what I do,” he declared. “I love accessibility. There’s a social justice aspect to it. You’re working on inclusion and accessibility of information. You’re empowering people to do the things they want to do, which is extremely exciting for me. I’m strongly motivated to build cool things for blind people. I want blind people’s lives to be better. I also really like challenges, finding new, fun exciting things to work on and at Amazon, there is absolutely no shortage of cool, interesting, thought-provoking design challenges for accessibility.”

To learn more about Amazon Accessibility, please visit amazon.com/accessibility.

Related content

US, MA, N.reading
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. As an Applied Scientist in Sensing, you will develop innovative and complex sensing systems for our emerging robotic solutions and improve existing on-robot sensing to optimize performance and enhance customer experience. The ideal candidate has demonstrated experience designing and troubleshooting custom sensor systems from the ground up. They enjoy analytical problem solving and possess practical knowledge of robotic design, fabrication, assembly, and rapid prototyping. They thrive in an interdisciplinary environment and have led the development of complex sensing systems. Key job responsibilities - Design and adapt holistic on-robot sensing solutions for ambiguous problems with fluid requirements - Mentor and develop junior scientists and engineers - Work with an interdisciplinary team to execute product designs from concept to production including specification, design, prototyping, validation and testing - Have responsibility for the designs and performance of a sensing system design - Work with the Operations, Manufacturing, Supply Chain and Quality organizations as well as vendors to ensure a fast development and delivery of the sensing concepts to the team - Develop overall safety concept of the sensing platform - Exhibit role model behaviors of applied science best practices, thorough and predictive analysis and cradle to grave ownership
US, CA, San Francisco
Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up! Key job responsibilities You will be responsible for maintaining our task management system which supports many internal and external stakeholders and ensures we are able to continue adding orders of magnitude more data and reliability.
IN, KA, Bengaluru
You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness. Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Own thermal design for consumer electronics products at the system level, proposing thermal architecture and aligning with functional leads - Perform CFD simulations using tools such as Star-CCM+ or FloEFD to assess thermal feasibility, identify risks, and propose mitigation options - Generate data processing, statistical analysis, and test automation scripts to improve data consistency, insight quality, and team efficiency - Plan and execute thermal validation activities for devices and SoC packages, including test setup definition, data review, and issue tracking - Work closely with cross-functional and cross-geo teams to support product decisions, generate thermal specifications, and align on thermal requirements - Prepare clear summaries and reports on thermal results, risks, and observations for review by cross-functional leads About the team Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?
US, MA, North Reading
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, scalable solutions in feedback control and state estimation for robotic systems, with a focus on contact-rich manipulation tasks. In this role, you will formulate physics-based models of robotic systems, perform analytical and numerical studies, and design control and estimation algorithms that integrate fundamental principles with data-driven techniques. 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 - Research, design, implement, and evaluate feedback control, estimation, and motion-planning algorithms, ensuring effective integration with perception, manipulation, and system-level components. - Develop experiments, simulations, and hardware prototypes to validate control algorithms, and optimization techniques in contact-rich manipulation and other challenging scenarios. - Collaborate with software engineering teams to enable scalable, real-time, and maintainable implementations of algorithms in production systems. - Partner with cross-functional teams across hardware, systems engineering, science, and operations to transition algorithms from early prototyping to robust, production-ready solutions. - Engage with stakeholders at all levels to iterate on system design, define requirements, and drive integration of control and estimation capabilities into Amazon Robotics platforms. A day in the life 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 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!
IN, HR, Gurugram
Lead ML teams building large-scale forecasting and optimization systems that power Amazon’s global transportation network and directly impact customer experience and cost. As an Applied Science Manager, you will set scientific direction, mentor applied scientists, and partner with engineering and product leaders to deliver production-grade ML solutions at massive scale. Key job responsibilities 1. Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development. 2. Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution. 3. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning. 4. Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions. 5. Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability. 6. Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing. A day in the life Your day includes reviewing model performance and business metrics, guiding technical design and experimentation, mentoring scientists, and driving roadmap execution. You’ll balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable. Ultimately, your work helps improve delivery reliability, reduce costs, and enhance the customer experience at massive scale.
IL, Haifa
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
AT, Graz
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). Please note these are not remote internships.
US, MA, N.reading
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of dexterous manipulation system that: - Enables unprecedented generalization across diverse tasks - Enables contact-rich manipulation in different environments - Seamlessly integrates low-level skills and high-level behaviors - Leverage mechanical intelligence, multi-modal sensor feedback and advanced control techniques. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities - Design and implement methods for dexterous manipulation - Design and implement methods for use of dexterous end effectors with force and tactile sensing - Develop a hierarchical system that combines low-level control with high-level planning - Utilize state-of-the-art manipulation models and optimal control techniques
CA, ON, Toronto
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Collaborate with business, engineering and science leaders to establish science optimization and monetization roadmap for Amazon Retail Ad Service • Drive alignment across organizations for science, engineering and product strategy to achieve business goals • Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon advertisers and third party retailers • Develop state of the art experimental approaches and ML models to keep up with our growing needs and diverse set of customers. • Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done. About the team Amazon Retail Ad Service within Sponsored Products and Brands is an ad-tech solution that enables retailers to monetize their online web and app traffic by displaying contextually relevant sponsored products ads. Our mission is to provide retailers with ad-solution for every type of supply to meet their advertising goals. At the same time, enable advertisers to manage their demand across multiple supplies (Amazon, offsite, third-party retailers) leveraging tools they are already familiar with. Our problem space is challenging and exciting in terms of different traffic patterns, varying product catalogs based on retailer industry and their shopper behaviors.
US, WA, Bellevue
Alexa+ is Amazon’s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. As an Applied Scientist II on the Alexa Sensitive Content Intelligence (ASCI) team, you'll be part of an elite group developing industry-leading technologies in attribute extraction and sensitive content detection that work seamlessly across all languages and countries. In this role, you'll join a team of exceptional scientists pushing the boundaries of Natural Language Processing. Working in our dynamic, fast-paced environment, you'll develop novel algorithms and modeling techniques that advance the state of the art in NLP. Your innovations will directly shape how millions of customers interact with Amazon Echo, Echo Dot, Echo Show, and Fire TV devices every day. What makes this role exciting is the unique blend of scientific innovation and real-world impact. You'll be at the intersection of theoretical research and practical application, working alongside talented engineers and product managers to transform breakthrough ideas into customer-facing experiences. Your work will be crucial in ensuring Alexa remains at the forefront of AI technology while maintaining the highest standards of trust and safety. We're looking for a passionate innovator who combines strong technical expertise with creative problem-solving skills. Your deep understanding of NLP models (including LSTM and transformer-based architectures) will be essential in tackling complex challenges and identifying novel solutions. You'll leverage your exceptional technical knowledge, strong Computer Science fundamentals, and experience with large-scale distributed systems to create reliable, scalable, and high-performance products that delight our customers. Key job responsibilities In this dynamic role, you'll design and implement GenAI solutions that define the future of AI interaction. You'll pioneer novel algorithms, conduct ground breaking experiments, and optimize user experiences through innovative approaches to sensitive content detection and mitigation. Working alongside exceptional engineers and scientists, you'll transform theoretical breakthroughs into practical, scalable solutions that strengthen user trust in Alexa globally. You'll also have the opportunity to mentor rising talent, contributing to Amazon's culture of scientific excellence while helping build high-performing teams that deliver swift, impactful results. A day in the life Imagine starting your day collaborating with brilliant minds on advancing state-of-the-art NLP algorithms, then moving on to analyze experiment results that could reshape how Alexa understands and responds to users. You'll partner with cross-functional teams - from engineers to product managers - to ensure data quality, refine policies, and enhance model performance. Your expertise will guide technical discussions, shape roadmaps, and influence key platform features that require cross-team leadership. About the team The Alexa Sensitive Content Intelligence (ASCI) team owns the Responsible AI and customer feedback charters in Alexa+ and Classic Alexa across all device endpoints, modalities and languages. The mission of our team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, (3) build customer trust through generating appropriate interactions on sensitive topics, and (4) analyze customer feedback to gain insight and drive continuous improvement loops. The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.