Endel Deeper Focus
Endel, creator of personalized soundscapes that have attracted more than 2 million users, has partnered with pioneering electronic producer and DJ Plastikman (Richie Hawtin) to release their AI-powered soundscape "Deeper Focus". The new soundscape is now available to Alexa customers.
Credit: Endel

How Endel’s AI-powered Focus soundscapes earned the backing of neuroscience

A new study has found that when compared to curated playlists and silence, personalized AI soundscapes generated by Alexa Fund company Endel are more effective in helping people focus. 

(Editor’s Note: This is the second in a series of articles Amazon Science is publishing related to the science behind products and services from companies in which Amazon has invested. The Amazon Alexa Fund first invested in Endel in 2018, and in 2020 the Alexa Fund participated in Endel’s $5 million Series A financing round.)

Founded in 2018, Endel creates personalized soundscapes to help people focus, relax, and sleep. Built on the back of its patented technology, Endel Pacific, the artificial intelligence (AI)-powered service takes into account the individual conditions of each listener, such as their heartbeat or the amount of light present, to generate customized sounds that help improve their well being, the company says.  

Endel provides three primary soundscapes: Focus, Relax, and Sleep. Using Alexa for instance, each soundscape is able to extract key local data about individuals, such as time of day, weather, and the amount of natural light, to help generate sound environments that improve these key states.

With the aim of helping people sleep better, Endel started collaborating with SleepScore Labs in 2020, to improve the effectiveness and user experience of their sleep soundscapes. The company also made headlines when it collaborated with musician Grimes to create “AI Lullaby”, a custom-made sleep soundscape which was made available through the Endel skill, for Alexa. 

Now, with the recent publication of a new white paper, "Differences In The Effects On Human Focus Of Music Playlists And Personalized Soundscapes, As Measured By Brain Signals", Focus mode is in the scientific spotlight. The white paper examines what properties of sound affect human focus, validating the company’s existing approach, while providing a roadmap for future improvements to its custom soundscapes. 

Focus results

Published by Arctop, a data and AI technology company that has developed a pioneering brain decoding SaaS solution, the white paper used Endel’s personalized Focus soundscapes, alongside focus-themed playlists from popular streaming platforms, to see how they affected a cross-section of users as they performed everyday tasks.

The white paper, which was authored by Arctop's research and development team led by principal investigator Dan Furman, PhD, and first author Aia Haruvi, MSc, was supported by Warner Music, Sony, Endel, and Universal Music, who provided the company with sounds, data, and financial support to help advance the research. The report looked at users at home in their natural environment, recording and interpreting their brain signals to show how they reacted to the music. The aim: examine what, if any, impact the use of Endel soundscapes, popular curated playlists that have been optimized for focus purposes, or just pure silence, had on the ability of listeners to perform tasks.  

“From the very beginning it has been important to us to be rooted in science,” says Endel co-founder and CEO Oleg Stavitsky. Upon launching Endel with renowned composer and sound designer Dmitry Evgrafov, Stavitsky began looking for research papers to inform their work within functional music, especially as it relates to helping people focus. 

“The majority of white papers out there would only reference popular music like Queen, Bach… making straightforward comments like, sad music makes you feel sad,” said Stavitsky.” There was nothing out there for what we were trying to apply here, anything that would help us go deeper and ask, ‘How does your brain react to certain types of sounds?’” 

When Stavitsky and Evgrafov received preliminary results from Arctop, it helped validate how their soundscapes impact brain activity on a second-by-second basis. 

Endel Image 1
The goal of the Arctop study was to determine what properties of sound affect human focus the most. This diagram from the research paper demonstrates the framework for reverse correlation of time-series focus values with audio features. A is an example of a recorded brain signal, B is an audio segment from one of the songs, and C shows the audio features dynamics during 30 minutes of recordings.
Credit: Arctop

“This was gold for us,” Stavitsky says about the results. “It wasn’t just about validating what we had, it was about how it worked specifically. Arctop has this proprietary system that allows you to zoom into a song, and on a second-by-second basis say ‘here’s the progression and here’s the brain activity.’”

Arctop examined participants doing various tasks in their home or work environments. Listening to either Endel soundscapes, curated playlists, or just silence, each volunteer completed four, one-hour sessions, that included a set tasks, and followed by an activity of their own preference. As the participants performed their tasks, they were monitored using state-of-the-art technology to pick up on the brain’s impulses, tracking its responses to the audio in relation to their task. Through this analysis, the team devised a ‘focus coefficient’, based on input from a brain decoded data electroencephalograph headband, and additional survey data from the participants. 

The results demonstrated that participants listening to personalized soundscapes increased their focus significantly when compared to listening to music playlists, or silence.

Endel releases new Deeper Focus soundscape on Alexa

On April 30, Endel made its latest soundscape, Deeper Focus, available on Alexa. Endel partnered with with pioneering electronic producer and DJ Plastikman (Richie Hawtin) to release their collaborative AI-powered soundscape. Read more about the new soundscape here.

“When we set up this experiment we didn’t know what would happen,” Furman explained. “One of our main takeaways is that the personalization of soundscapes is really effective.” 

The approach to the research is also relatively new, Furman explains. 

“One thing we want to highlight is that the method we used is naturalistic neuroscience – outside of the lab, with no technicians present, no wires... It was a uniquely natural capture of data. Here people were able to work at home, and use their own tablet or phone, they wore regular headphones and a light headband only for the brain decoding, which was really novel they were able to experience the content exactly as they would in everyday life. Ultimately, we believe that context, gives more credence to our findings.

How focus works

Endel’s founders believe the study provides new information that the company can use to enhance its soundscapes. Unlike its other modes, Sleep and Relax, Focus is the only Endel soundscape to employ percussion. But it’s more complex than just adding a few beats.

“The tempo is closely tied to your heart rate, and can adjust based on your resting and active heart rate,” explains Evgrafov, who works closely with fellow Endel sound designer, Alexander Vasilenko, to bring its soundscapes to life. “The sounds are more active, have less reverb and are more nuanced. There is a very gentle balance that must be maintained with the rhythm, as the brain starts to block out rhythmic sounds after a time.” 

Endel Image 2
This diagram from the Arctop white paper shows the study's processing pipeline. Data acquisition included at home EEG recordings of four sessions, each with a different background audio stream. EEG processing included filtering the signal, feature extraction, and training machine learning models to map between brain features and reported focus. Obtaining the brain decoded focus dynamics enables comparison of focus levels during different types of audio streams.
Credit: Arctop

Thanks to the way that in which the data was collected, Endel can now assess how sound impacts customers’ responses on a second-by-second basis.

“We got a lot of information about structure, where we realized we had to build it up, and relax things. In those transitions, the curve [for the focus coefficient] goes up drastically,” Evgrafov explains. “It’s not about the amount of instruments, it’s the nature of change that provides the most impact. This isn’t something we could have worked out ourselves.”

Further areas of focus 

From its inception, Endel has taken a scientific approach to programming its technology, applying information and knowledge on psychoacoustics that was readily available online, while at the same time relying on Evgrafov’s musicianship and heuristic knowledge.

“We started getting more neuroscience data, and that was more important for us, but we couldn’t answer simple questions like, ‘What is focus?’, and ‘What makes something relaxing?’ Now, thanks to the report, we see how the entire structure of a song impacts brain functionality,” Evgrafov said. “There are other layers of knowledge as well, such as the acoustical and other sound treatments that are present in the very spectrum of the sound. These parameters can help us program our core technology.”

This is more thorough and goes deeper than anything that has been done before, specifically about how sounds affect your cognitive state when it comes to concentration.
Oleg Stavitsky, Endel CEO

Now, Endel is focused on taking its AI technology to the next level. 

“To me, what is important is how groundbreaking this is,” says Stavitsky. “This is more thorough and goes deeper than anything that has been done before, specifically about how sounds affect your cognitive state when it comes to concentration.”

Both Arctop and Endel see potential in further exploring additional factors that weren’t examined in the report, such as how personalized soundscapes can affect productivity, creativity, and wellbeing — states that can be directly associated with focusing. Using current Arctop technology for headphones, earbuds, AR/VR devices and the ‘focus coefficient,’ for example, Endel soundscapes can adapt in real-time to fit an individual user’s precise needs for focusing in the moment.   

“We believe personalized soundscapes are the new way to experience functional music,” Stavitsky says. “We see it as a new category of music — functional music — and within this field, Endel is a leader.”

 

Research areas

Related content

US, CA, Pasadena
The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Research Scientist specializing the design of microwave components for cryogenic environments. Working alongside other scientists and engineers, you will design and validate hardware performing microwave signal conditioning at cryogenic temperatures for AWS quantum processors. Candidates must have a background in both microwave theory and implementation. Working effectively within a cross-functional team environment is critical. The ideal candidate will have a proven track record of hardware development from requirements development to validation. Key job responsibilities Our scientists and engineers collaborate across diverse teams and projects to offer state of the art, cost effective solutions for the signal conditioning of AWS quantum processor systems at cryogenic temperatures. You’ll bring a passion for innovation, collaboration, and mentoring to: Solve layered technical problems across our cryogenic signal chain. Develop requirements with key system stakeholders, including quantum device, test and measurement, cryogenic hardware, and theory teams. Design, implement, test, deploy, and maintain innovative solutions that meet both performance and cost metrics. Research enabling technologies necessary for AWS to produce commercially viable quantum computers. A day in the life As you design and implement cryogenic microwave signal conditioning solutions, from requirements definition to deployment, you will also: Participate in requirements, design, and test reviews and communicate with internal stakeholders. Work cross-functionally to help drive decisions using your unique technical background and skill set. Refine and define standards and processes for operational excellence. Work in a high-paced, startup-like environment where you are provided the resources to innovate quickly. About the team AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
US, CA, San Francisco
We are seeking a highly motivated PhD Research Scientist Intern to join our robotics teams at Amazon. This internship offers a unique opportunity to work on cutting-edge robotics projects that directly impact millions of customers worldwide. You will collaborate with world-class experts, tackle groundbreaking research problems, and contribute to the development of innovative solutions that shape the future of robotics and artificial intelligence. As a Research Scientist intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes, and work with massive datasets. You'll find yourself at the forefront of innovation, working with large language models, multi-modal models, and modern reinforcement learning techniques, especially as applied to real-world robots. Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions in robotics and AI. You'll then immerse yourself in a world of data and algorithms, leveraging your expertise in large language models and multi-modal systems to uncover hidden patterns and drive operational efficiencies. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Amazon has positions available for Research Scientist Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA, and San Francisco, CA. We are particularly interested in candidates with expertise in: Robotics, Computer Vision, Artificial Intelligence, Causal Inference, Time Series, Large Language Models, Multi-Modal Models, and Reinforcement Learning. In this role, you gain hands-on experience in applying cutting-edge analytical and AI techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights and advanced AI models to drive operational excellence in robotics, we encourage you to apply. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, and have the ability to thrive in a fast-paced, ever-changing environment. A day in the life Work alongside global experts to develop and implement novel scalable algorithms in robotics, incorporating large language models and multi-modal systems. Develop modeling techniques that advance the state-of-the-art in areas of robotics, particularly focusing on modern reinforcement learning for real-world robotic applications. Anticipate technological advances and work with leading-edge technology in AI and robotics. Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting-edge robotics solutions into production, leveraging the latest in language models and multi-modal AI. Contribute to technical white papers, create technical roadmaps, and drive production-level projects that support Amazon Science in the intersection of robotics and advanced AI. Embrace ambiguity, maintain strong attention to detail, and thrive in a fast-paced, ever-changing environment at the forefront of AI and robotics research.
US, WA, Seattle
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Our Prime Air Drone Vehicle Design and Test team within Flight Sciences is looking for an outstanding engineer to help us rapidly configure, design, analyze, prototype, and test innovative drone vehicles. You’ll be responsible for assessing the Aerodynamics, Performance, and Stability & Control characteristics of vehicle designs. You’ll help build and utilize our suite of Multi-disciplinary Optimization (MDO) tools. You’ll explore new and novel drone vehicle conceptual designs in both focused and wide open design spaces, with the ultimate goal of meeting our customer requirements. You’ll have the opportunity to prototype vehicle designs and support wind tunnel and other testing of vehicle designs. You will directly support the Office of the Chief Program Engineer, and work closely across all vehicle subsystem teams to ensure integrated designs that meet performance, reliability, operability, manufacturing, and cost requirements. About the team Our Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping.
US, WA, Seattle
This is a unique opportunity to build technology and science that millions of people will use every day. Are you excited about working on large scale Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLM)? We are embarking on a multi-year journey to improve the shopping experience for customers using Alexa globally. In 2024, we started building all Shopping experiences leveraging LLMs in the US. We create customer-focused solutions and technologies that makes shopping delightful and effortless for our customers. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products. We are seeking an Applied Scientist to lead a new, greenfield initiative that shapes the arc of invention with Machine Learning and Large Language Models. Your deliverables will directly impact executive leadership team goals and shape the future of shopping experiences with Alexa. 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!
US, WA, Seattle
The vision for Alexa is to be the world’s best personal assistant. Such an assistant will play a vital role in managing the communication lives of customers, from drafting communications to coordinating with people on behalf of customers. At Alexa Communications, we’re leveraging Generative AI to bring this vision to life. If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. You will operate at the intersection of large language models, real time communications, voice and graphical user interfaces, and mixed reality to deliver cutting-edge features for end users. Come join us to invent the future of how millions of customers will communicate with and through their virtual AI assistants. Key job responsibilities The Comms Experience Insights (CXI) team is looking for an experienced, self-driven, analytical, and strategic Data Scientist II. We are looking for an individual who is passionate about tying together huge amounts of data to answer complex stakeholder questions. You should have deep expertise in translating data into meaningful insights through collaboration with Data Engineers and Business Analysts. You should also have extensive experience in model fitting and explaining how the insights derived from those models impact a business. In this role, you will take data curated by a dedicated team of Data Engineers to conduct deep statistical analysis on usage trends. The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, and be able to collaborate with Data Engineers and Business Analysts to analyze data that will answer those questions. The right candidate should have a solid understanding of how to curate the right datasets that can be used to train data models, and the desire to learn and implement new technologies and services to further a scalable, self-service model.
US, VA, Arlington
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Data Scientist, you will * Collaborate with AI/ML scientists and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges * Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production * Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder * Provide customer and market feedback to Product and Engineering teams to help define product direction About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud
US, CA, San Francisco
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Us: Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team. For this role, we're looking for an experienced product data scientist who will help develop the strategy and evaluate/improve product initiatives within our Creator product team. You will be responsible to define and track KPIs, design experiments, evaluate A/B tests, implement data instrumentation, and inform on investment. Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision making to make the best products for our creators and their communities. Your input will be core to decision making across all major product strategies and initiatives that our team builds. You will work closely with product managers, technical program managers, engineering, data scientists, and organization leadership within and outside of the Creator organization. You Will - Inform product strategies by defining and updating core metrics for each initiative - Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders - Evaluate and forecast impact of product features on creators, viewers, and the entire Twitch ecosystem - Design A/B experiments to drive product direction with iterative innovation and measurement - Drive the team's analysis roadmap and prioritize the most valuable projects - Tackle complex and ambiguous analytic projects, resolve ambiguity and accurately identify the trade-offs between speed and quality and apply or route work as necessary - Dive deep into the data to understand how creator and viewer behaviors change with the evolution of our product - Act as our team's thought leader on best practices and move towards long-term vision of sustainable and thriving data processes - Own data collection and product instrumentation implementation and quality assurance - Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle - Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount About the team Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve g the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform.
US, NY, New York
Amazon is looking for an Applied Scientist to help build the next generation of sourcing and vendor experience systems. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon. As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty, vendors' behavior and incentives, supply risk and enhancing visibility and reliability of inbound signals. Key job responsibilities You will be a science tech leader for the team. As a Applied Scientist you will: - Set the scientific strategic vision for the team. You - - lead the decomposition of problems and development of roadmaps to execute on it. - Set an example for other scientists with exemplary scientific analyses; maintainable, extensible, and well-tested code; and simple, intuitive, and effective solutions. - Influence team business and engineering strategies. - Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs. - Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives. - Foster collaborations between scientists across Amazon researching similar or related problems. - Actively engage in the development of others, both within and outside the team. - Engage with the broader scientific community through presentations, publications, and patents.
US, NY, New York
The Think Forward Lab team at Deep Science for Systems & Services (DS3), AWS AI/ML is looking for world class scientists and engineers to join its group working on deployment of autonomous agents. Agents with full autonomy need to be trustworthy and verifiable. The team develops AI systems that exhibit autonomous proficiency across a wide range of domains, demonstrating competency in many (complex) tasks previously performed by human knowledge workers. Such agents sense, plan, and act effectively in interactive and previously unseen environments. To accomplish this goal we are seeking scientists with expertise in large language models, user alignment, neuro-symbolic AI, synthetic data generation and agentic environments. This is a role that combines science knowledge, technical strength, and product focus. It will be your job to develop novel generative AI-based agentic systems and algorithms while working with the engineering team to integrate them into different projects in the AWS AI portfolio of services. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for agents, neuro-symbolic AI and LLMs. You will be a technical leader in your domain. You will be a strong mentor and lead for your team. About the team The DS3 org encompasses scientists who work closely with different AWS AI/ML product services, innovating on the behalf of our customers customers. About AWS Diverse Experiences AWS 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 AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. 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. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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.
US, NY, New York
The Think Forward Lab team at Deep Science for Systems & Services (DS3), AWS AI/ML is looking for world class scientists and engineers to join its group working on deployment of autonomous agents. Agents with full autonomy need to be trustworthy and verifiable. The team develops AI systems that exhibit autonomous proficiency across a wide range of domains, demonstrating competency in many (complex) tasks previously performed by human knowledge workers. Such agents sense, plan, and act effectively in interactive and previously unseen environments. To accomplish this goal we are seeking scientists with expertise in large language models, user alignment, neuro-symbolic AI, synthetic data generation and agentic environments. This is a role that combines science knowledge, technical strength, and product focus. It will be your job to develop novel generative AI-based agentic systems and algorithms while working with the engineering team to integrate them into different projects in the AWS AI portfolio of services. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for agents, neuro-symbolic AI and LLMs. You will be a technical leader in your domain. You will be a strong mentor and lead for your team. About the team The DS3 org encompasses scientists who work closely with different AWS AI/ML product services, innovating on the behalf of our customers customers. About AWS Diverse Experiences AWS 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 AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. 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. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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.