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Advance the state of the art in customer-obsessed science.
Janet Slifka, Director, Research Science, Alexa AI
I joined the Alexa team in 2012, and every year has brought fresh challenges and opportunities to reach new customers, and partner with new teams across the globe.
Janet Slifka, Director, Research Science, Alexa AI

Current career opportunities in science

1,151 results found
  • LU, Luxembourg
    Job ID: 1067833
    (Updated about 17 hours ago)
    Amazon is looking for a Data Scientist to provide statistical and analytical insights from the vast array of services powering one of the world’s largest Reliability, Maintenance Engineering (RME) platforms. As part of the Automation Engineering team, we support the business in all aspects of the traditional automation pyramid, and we provide our internal users information on all aspects of the status of control systems within Amazon’s EU Fulfillment Network. At a basic level, these systems link our low-level automation systems with the cloud and we work at the cutting edge of all aspects of the automation pyramid, from device level to the enterprise level. The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.This role requires an individual with excellent statistical and analytical abilities, professional experience applying data science methodologies and data engineering practices as well as outstanding business acumen and ability to work with various teams across Amazon. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.Responsibilities:You are a significant and autonomous contributor. Your work is consistently of high quality. You are able to use a range of data science methodologies to conduct analysis for cases when the solution approach is unclear that relate to a portion of a business or business process. You apply a breadth of experience from practical application of data science techniques and tools to solve difficult business problems. Your work is focused on team-level goals, medium size projects, and small subsets of larger goals. You are able to ramp up quickly on new areas where colleagues identify established solutions. You are expected to consistently demonstrate a combination of the following:· You independently own and solve difficult business problems. These may be well-defined problems where the solution has not yet been outlined or approach to solve is unclear.· You deliver artifacts on medium size projects that affect important business decisions. You define the methodology and own the analysis.· You are able to gather and use complex data set across domains. You proactively gather data when it is not readily available.· You skilfully employ a range of data science methods, tools, and best practices. You are able to justify your approach.· You write clear and factually correct documents explaining technical concept to non-technical audience.· You have good working relationships with team-mates and peers working on related areas. You recognize discordant views and take part in constructive dialogue to resolve them.· You confidently train new team-mates about your customers, how your team’s solutions work, and how those solutions are reflected in the data.
  • US, WA, Seattle
    Job ID: 1068316
    (Updated about 9 hours ago)
    Amazon is looking for a passionate, talented, and inventive Senior Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As a Senior 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.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
  • US, WA, Seattle
    Job ID: 1068254
    (Updated about 10 hours ago)
    The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, KPI analysis and reporting, predictive modeling, and data engineering. Amazon’s mission is to be the most customer centric company in the world and Workforce Staffing, the organization responsible for hourly associate hiring globally, is on the front lines of that mission and will be your core customer in this role.As part of the Workforce Intelligence team, the Applied Scientist will work on developing machine learning algorithms for our job recommender system to personalize candidate experience and improve hiring funnel efficiency. This role will partner with capacity planning leaders, product/program managers, data engineers and other data scientists to build tools with clear business impact in an exciting and fast-paced start-up environment. The Applied Scientist will be responsible for developing new predictive and optimization models as well as algorithms for key applications. Successful candidates will have a deep knowledge of wide range of machine learning techniques, extensive experience in recommender system, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.Key Responsibilities:· Guide the technical approach for the design and implementation of successful models and algorithms in support of teams across Amazon.· Work in expert cross-functional teams delivering on demanding projects.· Functionally decompose complex problems into simple, straight-forward solutions.· Share knowledge in state-of-the-art machine learning research or frontier applied mathematical modeling and computation applicable to our problem space.
  • US, TN, Nashville
    Job ID: 1068196
    (Updated about 9 hours ago)
    Workforce Staffing (WFS), a division of Amazon’s Worldwide Operations Human Resources, manages Amazon’s Tier 1 talent supply chain. We attract, hire, and onboard the associates who, by fulfilling orders at the frontlines of the company, make Amazon a global leader in delivery and logistics. The mission of the Candidate Experience Research Team (CER) is to drive positive change to Workforce Staffing’s hiring and onboarding experience. We conduct research and analyses on opportunities and successes for the business, and develop products that amplify the voice of our candidates.We are seeking a manager, data science, with a heavy focus on quantitative data analysis and evaluation, and a deep focus on understanding labor markets. You will be responsible for building a new team from the ground up, develop roadmaps, and drive business impact through your research at global scale.The ideal candidate should be well versed in quantitative methods, including classical statistics and machine learning approaches. Competitive candidates will be very comfortable with at least one computational language (e.g., R, Python). Candidates should be comfortable combing through computational models, machine learning algorithms, and analyzing their output.Candidates should have demonstrated experience leading data science projects related to labor market research and analysis, including research on wage sensitivity and elasticity, workforce relevance, and other factors.A customer-obsessed, relentless curiosity is a must, as is commitment to the highest standards of methodological rigor that a given study allows. This role provides opportunity for significant exposure to Amazon’s culture, leadership, and global businesses, and furthermore provides significant opportunity to influence how Workforce Staffing matches talent to business demand.This role will be located in Nashville.If you’re hungry to engage and empower Amazon Associates your expertise in mixed methods research, let's talk.
  • US, WA, Seattle
    Job ID: 1068193
    (Updated about 9 hours ago)
    Workforce Staffing (WFS), a division of Amazon’s Worldwide Operations Human Resources, manages Amazon’s Tier 1 talent supply chain. We attract, hire, and onboard the associates who, by fulfilling orders at the frontlines of the company, make Amazon a global leader in delivery and logistics. The mission of the Candidate Experience Research Team (CER) is to drive positive change to Workforce Staffing’s hiring and onboarding experience. We conduct research and analyses on opportunities and successes for the business, and develop products that amplify the voice of our candidates.We are seeking a research scientist with deep expertise in diversity research, with a heavy focus on quantitative data analysis and evaluation.The ideal candidate should be well versed in quantitative methods, including classical statistics and machine learning approaches. Competitive candidates will be very comfortable with at least one computational language (e.g., R, Python). Candidates should be comfortable combing through computational models, machine learning algorithms, and analyzing their output.Candidates should have demonstrated experience leading research projects related to diversity, including program evaluation. The ideal candidate will have demonstrated experience auditing programs, and advocating for and implementing solutions.A customer-obsessed, relentless curiosity is a must, as is commitment to the highest standards of methodological rigor that a given study allows. This role provides opportunity for significant exposure to Amazon’s culture, leadership, and global businesses, and furthermore provides significant opportunity to influence how Workforce Staffing matches talent to business demand.If you’re hungry to engage and empower Amazon Associates your expertise in mixed methods research, let's talk.
  • US, WA, Seattle
    Job ID: 1067621
    (Updated 1 day ago)
    Want to transform the way people enjoy music, video, and radio? Come join Alexa Entertainment, the team that made Amazon Music, Spotify, Hulu, Netflix, Pandora, and more available to Alexa customers. We are at the epicenter of the future of entertainment, innovating the way our customers interact with content at home and on the go.Alexa Entertainment is looking for a Senior Applied Scientist to lead a new team of talented and passionate scientists to intelligently arbitrate among competing possible actions to take on behalf of customers, as part of our wider spoken language understanding efforts. As a Senior Applied Scientist, you will lead the design, development, and evaluation of models and ML (machine learning) technology to enable a magical entertainment experience for Alexa customers. You will help lay the foundation to move from directed interactions to learned behaviors that enable Alexa to proactively take action on behalf of the customer. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Like the world of smart phones less than 10 years ago, this is a rare opportunity to have a giant impact on the way people live.
  • US, CA, Santa Clara
    Job ID: 1067443
    (Updated 1 day ago)
    The Household Organization (HHO) team builds the conversations you and your family have with Alexa that help you get and stay organized. Millions of customers use our products to manage their time, get things done, and access and manage their personal information with their voice.We are making Alexa smarter and more personalized and are proud to do this in a privacy first way. We are looking to hire a machine learning scientist with expertise in NLP, differential privacy and data generation.
  • US, WA, Seattle
    Job ID: 1067420
    (Updated 1 day ago)
    The IMDb TV team is shaping the future of digital video entertainment. Our mission is to build earth’s most customer centric ad supported premium free video service and make it trivially easy for hundreds of millions of customers to enjoy. Our team is re-inventing how to find content and building a new video destination.We need to make agile decisions based on what content creates the most value for our customers and pursue the most efficient content acquisition strategies for our desired outcomes. We are seeking an innovative Data Scientist to predict and measure the benefit of different IMDb TV titles and their impact on customer engagement as well as advertiser value. This position will be responsible for designing and building the suite of models that will predict content performance as well as the interface used by our content acquisition team to assess content for use in real time deal evaluations.This role requires a team member with strong quantitative modeling skills and the ability to apply statistical/machine learning methods to large amounts of customer and title level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and an ability to work in a fast-paced and ever-changing environment. This person will also be proficient in communicating their recommendations directly to advertising and video leadership.This position will be part of the Prime Video Content Research team, which includes a diverse scientific team of computer scientists and economists as well as other data scientists who build statistical models using world-class data systems and partner directly with the business to implement the solutions. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch. As a Data Scientist at Amazon, you will have the opportunity to work on one of the world's largest consumer data sets and influence the long term evolution of our analytics capability.This is very much Day 1 for IMDb TV. You would be joining an entrepreneurial and pioneering team working to reinvent ad supported television.
  • US, NY, New York
    Job ID: 1067387
    (Updated 1 day ago)
    About Amazon Advertising:Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.About our team:Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team to pursue a transformation opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Senior Data Scientist to join our team. Our team works on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.In this role, you will:· Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.· Translate prototype models to production quality, scaling to millions of customers and across different languages.· Design experiments leveraging your models to measure effectiveness.· Work closely with product, business and engineering teams to execute on your project plans.· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
  • US, MA, Cambridge
    Job ID: 1067373
    (Updated 1 day ago)
    Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As a Research Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in speech and audio processing. Your work will directly impact our customers in the form of novel 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. You will mentor junior scientists, create and drive new initiatives.
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