Research Scientist II, Amazon Dash Cart
Boston, Massachusetts, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
The Amazon Dash Cart team is seeking a highly motivated Research Scientist (Level 5) to join our team that is focused on building new technologies for grocery stores. We are a team of scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping.
The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.
Key job responsibilities
As a research scientist, you will help solve a variety of technical challenges and mentor other engineers. 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 at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
About the team
Amazon Dash cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. When you’re done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.
Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning.
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Experience with agile development
- Experience building web based dashboards using common frameworks
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.
Key job responsibilities
As a research scientist, you will help solve a variety of technical challenges and mentor other engineers. 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 at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
About the team
Amazon Dash cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. When you’re done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.
Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning.
Basic Qualifications
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
Preferred Qualifications
- Knowledge of R, MATLAB, Python or similar scripting language- Experience with agile development
- Experience building web based dashboards using common frameworks
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Categories:
Data Science Jobs
Research Jobs
Tags: Agile Computer Vision Machine Learning Matlab PhD Python R Research
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Staff Machine Learning Engineer jobsPrincipal Data Engineer jobsBI Developer jobsData Scientist II jobsStaff Data Scientist jobsData Manager jobsJunior Data Analyst jobsResearch Scientist jobsData Science Manager jobsBusiness Data Analyst jobsLead Data Analyst jobsData Engineer III jobsSenior AI Engineer jobsSr. Data Scientist jobsData Science Intern jobsData Analyst Intern jobsData Specialist jobsSoftware Engineer, Machine Learning jobsSoftware Engineer II jobsData Analyst II jobsPrincipal Software Engineer jobsJunior Data Engineer jobsBI Analyst jobsSenior Data Scientist, Performance Marketing jobsSr Data Engineer jobs
Snowflake jobsLinux jobsEconomics jobsOpen Source jobsJavaScript jobsHadoop jobsComputer Vision jobsBanking jobsPhysics jobsMLOps jobsRDBMS jobsGoogle Cloud jobsAirflow jobsNoSQL jobsKafka jobsData Warehousing jobsR&D jobsScala jobsKPIs jobsGitHub jobsData warehouse jobsClassification jobsOracle jobsScikit-learn jobsPostgreSQL jobs
SAS jobsCX jobsStreaming jobsScrum jobsPandas jobsPySpark jobsData Mining jobsTerraform jobsDistributed Systems jobsLooker jobsBigQuery jobsRobotics jobsIndustrial jobsJira jobsJenkins jobsUnstructured data jobsdbt jobsRedshift jobsE-commerce jobsReact jobsMicroservices jobsPharma jobsData strategy jobsNumPy jobsMySQL jobs