Author

Hua He


Work with us

See More Jobs
US, WA, Seattle
Amazon is looking for an outstanding applied scientist to help build next generation selection/assortment systems. On the Core Selection Team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection for WW Amazon Marketplaces. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment.As an Applied Scientist, you will work with software engineers, product managers and business teams to understand the requirements/current challenges, distill that understanding to elegantly define the problem, and develop innovative solutions to address those problems using techniques in machine learning and optimization.You will work with a team of engineers and scientists who are passionate about using machine learning to build automated systems and solve problems that matter to our customers. Your work will directly impact our customers in form of selection we offer them.Responsibilities:· Research and implement machine learning and optimization models to solve problems that matter to our customers· Understand business requirements and existing challenges and map them to the right scientific solution· Own end-to-end solution in terms of research, prototyping, experimentation to eventual roll-out· Develop the right set of metrics to evaluate efficiency/accuracy of the algorithms· Mentor and develop the scientist community across the organizationTo help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Seattle
We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity.Come work on the Prime Air team!We're looking for an outstanding applied scientist who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch applied scientists. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!Export License: This position may require a deemed export license for compliance with applicable laws and regulations. Placement is contingent on ’s ability to apply for and obtain an export license on your behalf
US, WA, Seattle
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for data scientist to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience.If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.Major responsibilities· Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes· Design structured, multi-source data solutions to deliver the dashboards and reports that make data actionable· Drive the collection of new data and the refinement of existing data sources to continually improve data quality· Support data analysts and product managers by turning business requirements into functional specifications and then executing delivery· Lead the technical lifecycle of data presentation from data sourcing to transforming into user-facing metrics· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
US, NY, New York
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.In this role you will develop and evaluate machine learning models using large data-sets, cloud services and customer behavior insights to improve our customer’s experience. Working closely with best-in-class engineers you will have the opportunity to apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our technology roadmap.Impact and Career Growth:· Innovate and define the new pricing model for Sponsored Brand across many creative types.· · Addressing principles of allocation function and pricing in ad marketplace auctions;· · Developing efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace auctions and to evolve them· · Opportunity to grow and broaden your machine learning skills a make impact – the work you deliver directly impacts customers and revenue!· · Work in an environment that thrives on creativity, experimentation, and product innovation.· · Have the ability to experiment autonomously with meaningful projects.· · Mentor others Applied Scientists.Why you love this opportunity:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
US, WA, Seattle
We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity.Come work on the Amazon Prime Air Team!We're looking for outstanding scientists and engineers who combines superb technical, research and analytical capabilities with a demonstrated ability to get complex hardware, software, embedded, mobile and mission-critical systems up and running quickly and effectively. This person must be comfortable working with a team of top-notch software, hardware, and applied science engineers. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!Export Control LicenseThis position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, Python and ML techniques would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, Python and ML techniques would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
DE, BE, Berlin
Artificial intelligence systems can be designed to maximize customer engagement without explicit consideration of social inclusiveness and fairness outcomes. At Amazon, we use machine learning to help millions of customers discover the right products for billions of queries. At this large scale, we believe inclusiveness measurements on the data powering our systems is critical to ensure that our diverse customers are able to find relevant products. We are looking for an Applied Scientist to lead the scientific research of our inclusive search experiences program to make sure that the shopping experience at Amazon speaks to all customers.As a Scientist, you’ll work with cross-disciplinary teams to ensure that the data-driven models powering shopping experiences deliver an inclusive search experience for all our customers. You will partner with Amazon’s category teams, from fashion and groceries to Kindle books, electronics and advertising. You will partner with the teams that power search relevance, query understanding, browse, and product recommendations.Successful candidates will have strong judgment and will use data driven methods to identify which opportunities will drive the most impact to our customers and build an inclusive experience. You excel in translating broader business objectives into science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You will thrive in a collaborative, creative, analytical, and fast-paced environment and are comfortable interacting with technical software development teams.
GB, London
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 Analytics team, which includes a diverse team of data scientists, analysts and economists 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.
LU, Luxembourg
Have you ever ordered a product on Amazon websites and, when the box arrived, wondered how you got it so fast, how much it would have cost Amazon, and what kinds of systems & processes must be running behind the scenes to power the whole operation? If so, the European Supply Chain Analytics team is for you.Amazon seeks a passionate, results-oriented data scientist to join our European Supply Chain team in Luxembourg. You will be responsible to optimize our complex and expanding fulfilment network end-to-end.Successful candidates will have the attitude of a data detective combined with strong analytic skills and problem solving mindset.You will work both bottom up from anecdotes to algorithmic improvements or top down from performance metrics monitoring to processes improvements.The role requires you to collaborate with software developers and product managers, transportation teams and fulfillment centers. You love solving complex problems, but you are equally strong at simplifying them for a less technical audience.
US, NY, New York
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Brands Recommendations team is a versatile environment, with a wide variety of challenges. We focus on helping advertisers by providing recommendations to help them achieve their goals. We look at mega size data from both retail and advertising space, and coming up with ML based recommendations through multiple products.As an Applied Scientist, you will solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with scientists, engineers, BIE's, product managers. The successful candidate should have a strong quantitative background, excellent data analytics / math skills, and experience in productionization of ML model.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation#sspa
US, NJ, Newark
Audible is searching for an exceptional data scientist to join our economics team and drive the development of models at the intersection of machine learning and econometrics at scale. The Audible economics organization works across the business to measure and maximize the value Audible delivers to customers, creators, and communities globally. In this role, there will be a focus on partnering with our content and strategy teams to build a groundbreaking catalog of audiobooks and spoken-word entertainment.We are looking for someone experienced in building ML models at scale for complex prediction and optimization problems, who also has a background (or burgeoning interest!) in causal inference or interpretable machine learning. In addition to working with our staff economists, you will also collaborate closely with scientists across Audible and partner teams at Amazon on problems pertinent to subscription businesses and the production of original media content.KEY RESPONSIBILITIES· Work with leadership in our content and strategy organizations to identify key analytical problems and opportunities – your work is expected to be a key input to our future content strategy.· Develop and maintain scalable, innovative data science and machine learning models that deliver actionable insights and results.· Collaborate with other data scientists, economists, and analysts at Audible to build data-driven solutions to key business problems.
US, NJ, Newark
Audible is looking for a talented teammate to join our economics team as senior manager of economic insights. The Audible Economics organization works across the business to measure and maximize the value Audible delivers to customers, creators, and communities globally. In this role, there is a focus on partnering with our economists and data scientists to craft analyses that solve crucial questions for external content stakeholders, including publishers, authors, and the broader creative community of spoken-word entertainment and audiobooks. In addition to helping shape analyses, you will be responsible for translating findings into key, actionable insights, and communicating them clearly to a range of audiences.We are searching for someone who has exceptional presentation, writing, and data visualization skills; a thorough knowledge of analytical methods used in economics, statistics, and data science; and an exemplary ability to tell simple, compelling stories with data. As Audible continues to redefine the ways people access, discover, and share stories, you will be at the forefront of discussions with our content team and creators on how to evolve the industry to discover new value for customers and storytellers alike.KEY RESPONSIBILITIES· Partner with content and strategy leadership to develop a roadmap of key analytical questions for creators.· Conceptualize and deliver analytical, data-driven solutions to those key questions, in original analyses and in partnership with staff economists and data scientists.· Produce data-driven recommendations to augment our content strategy and maximize value for customers and creators.· Develop innovative partnership structures and deal making strategies with existing and new creative partners.
US, CA, Sunnyvale
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 groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?The Role: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.In this role, you will:· Evaluate and optimize thermal solution requirements of handheld consumer electronic products· Use simulation tools like FloTherm XT/EFD for analysis and design of products· Validate design modifications for thermal concerns using simulation and actual prototypes· Establish temperature thresholds for user comfort level and component level considering reliability requirements· Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues· Use of programming languages like Python and Matlab for analytical/statistical analyses and automation· Collaborate as part of device team to iterate and optimize design to establish and deliver project performance objectives· Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins· Create and present analytical and experimental results· Develop and apply design guidelines based on project learnings
US, WA, Seattle
The Economic Technology team (EconTech, ET) is looking for an a experienced Applied Scientist Manager to build Reinforcement Learning solutions to solve economic problems at scale. ET uses Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building disruptive solutions using cutting-edge technology to solve some of the toughest business problems at Amazon.You will lead multiple teams of engineers, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will provide thought leadership to scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for a leader who wants to have business impact, dive deep into large-scale economic problems, and enable measurable actions on the Consumer economy. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As a Senior Manager, Applied Science, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed..As an Applied Science Senior Manager , you will:· Lead a group of talented applied scientists and software engineers to deliver machine-learning and AI solutions to production.· Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.· Develop science and engineering roadmap, run Sprint/quarter and annual 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 talents, provide technical and career development guidance to both scientists and engineers in the organization.
US, CA, East Palo Alto
The Machine Learning Product Teams are responsible for identifying customer needs and building products and services to meet those needs. As a member of the AWS team, you will work side-by-side with the Product Teams to continue to build the products and services designed with fairness and explainability in mind.As a Scientist on this team, you will:· help define the strategies, priorities and metrics of the team for fairness and explainability and and execute for delivery,· help build and develop the AWS team, as needed,· understand in depth the technical and scientific issues related to machine learning fairness, and· serve as liaison to internal and external stakeholders.
US, WA, Seattle
The Tax Technology team is seeking an experienced Senior Data Scientist excited by the opportunity to help build out a world-class Data organization to drive the transformation of Amazon’s massive, petabyte-scale datasets into useful information through data visualization, data modeling, and machine learning to help Amazon Finance meet the growing challenge of global taxation.As a Senior Data Scientist, you will discover and define problems and apply quantitative methods to extract insights and drive strategy across Amazon Tax. You will work with cutting edge technologies that enable the extraction of insights from big data using statistical modeling and machine learning methodologies. You will play an active role in translating business and functional requirements into KPIs and concrete deliverables, working closely with product and software development teams to put data solutions into production.Roles and Responsibilities:· Drive business changes to improve organizational performance for strategic initiatives through data insights· Actively solicit and deeply understand stakeholders' business needs and propose scalable data solutions· Utilize Amazon systems and tools to gather and manipulate data· Identify opportunities to build and implement statistical modeling or machine learning to extract insights from petabyte-scale datasets· Partner with Product Managers to understand customer data analysis needs and shape product capabilities· Recruit and train data scientists, business intelligence engineers, and data analysts
US, PA, Pittsburgh
Amazon is looking for passionate Applied Scientists and Computational Linguists with expertise in Machine Translation to help us expand our MT and NLP technology.Our mission is to enable a superior experience for all of Amazon’s customers in their native language by developing and deploying state-of-the art technology and applications in Machine Translation (MT), Natural Language Processing (NLP) and Machine Learning (ML). The global scale of Amazon means true big data problems, big data opportunities, and building for global customers. Machine Translation allows Amazon to reach people in their preferred language. We are a team tackling the tough language problems that general-purpose MT cannot solve.As part of our MT research & development team, you will work on developing, deploying, maintaining and supporting our fleet of Machine Translation systems, particularly focused on Search. You will drive experimentation to develop new solutions in the MT space. Your work will directly impact millions of our customers in the form of products and services that make use of our MT and NLP technology. You will gain hands-on experience with Amazon’s heterogeneous language data sources and large-scale computing resources to accelerate advances in MT and NLP.Major Responsibilities· Drive scientific exploration and innovation for MT improvements and evaluation techniques· Train and evaluate neural MT models using Amazon's proprietary MT technology· Analyze the accuracy and performance of MT models· Assist in deploying, maintaining, and supporting Amazon's fleet of dedicated MT systems in production· Design and implement software to collect, analyze and prepare large natural language data sets
US, WA, Seattle
Are you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? The North American Consumer Recruitment and Development team is looking for an Applied Scientist to lead us on our mission to recruit all the brands in the world to sell on Amazon, while empowering them to grow their business and provide a great customer experience. Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. To drive this unprecedented scale, our entrepreneurial team of sales reps, account managers, product managers, and software engineers continuously invent new ways to scale and raise the bar for our selling partners through automation.As an Applied on our team of scientists, engineers, and product managers, you will have opportunities to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can revolutionize the e-commerce industry. You will expose and measure current Selling Partner Recruitment and Development performance. You will identify specific and actionable opportunities to solve existing business problems, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced quantitative techniques and data visualization for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Major responsibilities- Use statistical and machine learning techniques to create scalable recommendation systems- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes- Design, development and evaluation of highly innovative models for predictive learning- Work closely with software engineering teams to drive real-time model implementations and new feature creations- Work closely with operations staff to optimize various business operations,- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
US, WA, Seattle
How can we use optimization techniques and Machine Learning (ML) to build algorithms to better resolve our Selling Partners issues? How can we optimally route phone, email and chat contacts form Selling Partners to improve our Associates occupancy rates? How can we optimize day-to-day staffing and scheduling in Amazon service centers by leveraging intra-day data on multiple key planning inputs (for example average handle time)? How to leverage ML recommendations to route incoming contacts to the most optimally skilled associates to quickly and successfully resolve the issues that Selling Partners are experiencing, resulting in quicker and successful resolution of the issues sellers experiencing?The answers to these questions and others like them are core to helping Amazon’s Marketplace business thrive and expand, including delivering best-in-the-class experience for our Selling Partners and call center Associates. Our cross-functional team works closely with various stakeholders world-wide such as Finance, Operations, Regional Capacity Planners, Global Planning, Hiring and Training to help them with data-driven business decisions.Using AWS’ large-scale computing resources the Applied Science Manager will develop and deploy optimization algorithms and ML models to match demand (incoming contacts from selling partners) and supply (daily schedules for call center associates) to improve the service levels. The Applied Science Manager will work with domain experts and engineers to help put those algorithms into production and continuously improve their performance. The Applied Science leader will interact with the Amazon ML/Optimization community and mentor Scientists and Software Development Engineers with a strong interest in optimization. Your work will directly benefit sellers, vendors, brands and associates on the Amazon Marketplace platform. We are looking for a passionate, hard-working, and talented Applied Science Manager who has experience leading science teams in a fast-paced matrixed organization to build mission critical, agile and scalable big-data solutions that deliver high-impact results