Amazon Go Store in the Amazon Seattle Campus

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Advance the state of the art in customer-obsessed science.
Nashlie Sephus
At Amazon we’re doubling down on our presence at conferences that target diverse individuals in technology like Grace Hopper Conference for Women in Computing or AfroTech.
Dr. Nashlie Sephus, Applied Scientist, Amazon Web Services

Career opportunities in science

714 results found
  • US, MA, North Reading
    Job ID: 1238052
    (Updated about 13 hours ago)
    Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.POSITION OVERVIEWThe Technical Operations Manufacturing team at Amazon Robotics is looking for an experienced, results-oriented Data Scientist to solve difficult problems in manufacturing. The data ranges from mechanical dimensional data to results of complex electromechanical tests, with a little bit of everything in between. Our team is looking for a data scientist to derive insights from this data and communicate the results though white papers, presentations, and production ready models. This role will interface with engineers in software, hardware test, manufacturing, and design. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization in a combined team of software engineering and data science.A successful candidate should have a background in business analytics, data science, and data visualization. We are looking for jack-of-all-trades that is able to select and use the right tools to bring clarity to complex questions and help drive decisions. While we don’t assume mastery in all areas, successful team members can speak and work competently in multiple domains.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on manufacturing failures.· Optimizing identification of defective product to improve our customer satisfaction.· Drive actions at scale to improve manufacturing yields using scientifically-based methods and decision-making.· Helping to build production systems that take inputs from multiple models and make decisions in real-time.· Automating feedback loops for algorithms in production.· Utilizing Amazon systems and tools to effectively work with terabytes of data.
  • US, WA, Seattle
    Job ID: 1237241
    (Updated 1 day ago)
    The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. Do you want to join a team of scientists who use computer vision and machine learning to keep Amazon at the frontiers of AI? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join our Research group.Technical Responsibilities:· Lead the development and implementation of computer vision and machine learning models and algorithms· Applies advanced mathematical theory, statistical analysis and machine learning techniques to improve existing approaches and designs.· Designs solutions for complex business problems while keeping a company-wide perspective using quantitative methods· Executes highly complex projects and plays a role in key aspects of a strategic project.· Establishing efficient, automated processes for large data analyses, model development, model validation and model implementation.· Plan, design, execute and measure controlled experiments to understand impact of our actionsLeadership Responsibilities:· Understand high-level business objectives and continually align work with those objectives to meet needs of business (ROI, cost-benefit analysis).· Manage, mentor and coach researchers· Effectively advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers.· Design strategies for effective use of model output.· Maintain a culture of innovation via rapid prototyping and research to leverage new data sources and techniques.· Leads report-writing efforts to communicate analysis and proposed solutions to stakeholders.
  • US, WA, Seattle
    Job ID: 1237239
    (Updated 1 day ago)
    The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists and engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams across Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
  • US, NY, New York
    Job ID: 1237155
    (Updated about 11 hours ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, CA, Sunnyvale
    Job ID: 1236941
    (Updated 1 day ago)
    Amazon Alexa AI is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.As an Applied Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
  • US, WA, Seattle
    Job ID: 1236656
    (Updated 1 day ago)
    Amazon's Sponsored Ads is one of the fastest growing business domains and we are looking senior level scientists with experience building complex machine learning models and writing elegant prototype code. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative applied scientists and software development engineers with an entrepreneurial spirit and bias for action. With the team growing at an unprecedented rate, there is broad mandate to experiment and innovate!Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. The ads sourcing works across the spectrum of ad serving including coverage expansion, increasing utilization of tail detail pages, ad relevance, ad quality, collaborative filtering, and much more. Our technology enables thousands of brands, sellers and authors to drive discovery and sales of their products at Amazon by millions of customers.We are looking for an Applied Scientists, with a background in Machine Learning to optimize serving ads on billions of product pages. The solutions you create/deploy would ensure relevant ads are served to Amazon's customers. You will directly impact the shopping experience while helping our advertisers get the maximum ROI. You will be expected to demonstrate strong ownership and should be curious to learn and leverage the rich textual, image, and other contextual signals.This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. Ideal candidates will be able to work cross functionally across multiple stakeholders, synthesize the science needs of our business partners, develop models to solve business needs, and implement solutions in production.
  • US, WA, Seattle
    Job ID: 1236568
    (Updated 1 day ago)
    What is the most relevant business data for AWS leadership? What are the most important insights in this data? Are we investing enough in our infrastructure, or too much? How much new workloads do our new products drive into AWS? Which initiatives help our customers utilize AWS the most? How do our customers react to changes in prices, purchase options or products?The Central AWS Econ team is dedicated to answering these questions using quantitative, economic and statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and provide insights to executive leaders throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.This Data Scientist role will explore and develop innovative quantitative approaches and models, generate features, test hypotheses, and build classification and predictive models. The data scientist will work with very large, diverse, complex data sets. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical, finance and business teams, working together with Economists, Data Scientists, Data Engineers, Financial Analysists and Product Managers to support executive planning and decisions.Key Responsibilities:· Research, develop and build classification and predictive models based on evolving business needs· Analyze, research and develop new features and KPIs to scale new models for wider use· Provide insights by analyzing historical data
  • US, CA, San Francisco
    Job ID: 1235679
    (Updated 4 days ago)
    The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in quantum computing for the benefit of our customers. We are looking to hire a Quantum Research Scientist to understand and mitigate crosstalk and loss channels in superconducting qubit and hybrid quantum acoustic devices and their packaging. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering skills, resourcefulness, and a bias for action. Organization and communication skills are essential.Work/Life BalanceAt the AWS CQC, we understand that developing quantum computing technology is a marathon, not a sprint. Mental and physical wellness is encouraged within our team and throughout AWS. The work/life integration within Amazon encourages a culture where employees work hard and have ownership over their downtime. We are exploring more structured wellness elements including for example meditation, running group meet-ups, and other wellness tips.Mentorship and Career GrowthWe are committed to the growth and development of every member of the Center for Quantum Computing. You will receive career-growth-minded management and mentorship from a software and science team and also have the opportunity to participate in Amazon's science mentorship programs.Inclusive and Diverse CultureThe AWS CQC is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds to build a world class team. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with their peers. With quantum computing being a new and growing initiative within AWS, you would have an opportunity to make an impact on our budding team culture.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
  • (Updated 4 days ago)
    What do you like most about shopping at Amazon? Huge product selection? Amazon’s catalog has billions of items. Despite its mind-boggling size and variety, it remains the best in the business. That’s no accident! We use state of the art machine learning techniques and cloud computing technologies to keep it that way. A vast and high quality product catalog is a key strategic asset for Amazon that sets us apart from our competitors. Come help us make the world’s best product catalog even better and influence the way millions of customers shop.In this role, you will own scientific solutions to a large set of customer-facing product catalog issues that influence critical business processes and product discovery. you will have an opportunity to lead state of the art machine learning algorithms on large datasets. You will need to lead & build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.We are seeking an Applied Science Manager who has a strong background in applied Machine Learning and AI, deep passion for building data-driven products; ability to communicate data insights and scientific vision, and has a proven track record of leading both applied scientists and software engineers to execute complex projects and deliver business impacts.In this role, you will:· Lead a group of applied scientists to deliver machine-learning and AI solutions to production· Advance the team's craftsmanship and drive continued scientific innovation as a thought leader and practitioner· Develop science roadmaps, run monthly/quarterly/yearly planning, and foster cross-team collaboration to execute complex projects· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management· Hire and develop top talent, provide technical and career development guidance to both scientists and engineers in the organization
  • US, CA, Culver City
    Job ID: 1235619
    (Updated 4 days ago)
    Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players.The Prime Video Marketing Analytics team uses machine learning, econometrics, and data science to optimize Amazon’s media spending strategies on Amazon Originals and third party content, driving customer loyalty as well as enhancing lifetime value of our Prime members. We are looking for an applied data scientist to build innovative models for measuring the impact of marketing spending on customer engagement and Prime member acquisition. Key responsibilities of Prime Video applied scientists include the following:· Playing an integral role in developing a roadmap to expand and enhance marketing analytics of Prime Video· Optimizing media planning on Amazon Originals to grow Amazon Prime user engagement and acquisition· Improving model usability by analyzing customer behavior and by gathering data from business owners and other tech teams· Incorporating new data sources and implementing creative methodology innovations to improve model performance· Creating and tracking accuracy and performance metrics· Helping build production systems that take inputs from multiple models and support decision makingTo summarize, the applied scientist will join our team to generate scientific insights to guide Amazon’s digital-video marketing strategy. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to discern causality of advertising spending on customer engagement and Prime member acquisition, based on which we derive optimize media planning of multi-million dollar marketing budget.
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