Amazon
Sr. Applied Scientist, Amazon
Amazon - Irvine, California, United States, 92713
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Sr. Applied Scientist, Amazon
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Amazon 1 day ago Be among the first 25 applicants Join to apply for the
Sr. Applied Scientist, Amazon
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Amazon Get AI-powered advice on this job and more exclusive features. Description
Are you interested in big data, machine learning, and product recommendations? If so, the Amazon Interests team might be the right place for you. We are a team in a fast-paced organization with a huge impact on hundreds of millions of customers. We innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Description
Are you interested in big data, machine learning, and product recommendations? If so, the Amazon Interests team might be the right place for you. We are a team in a fast-paced organization with a huge impact on hundreds of millions of customers. We innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
We are looking for Applied Scientists who love big data, and are capable of inventing and applying Machine Learning, Natural Language Processing, Image processing, Data Mining, Classification and Clustering techniques to solve real world problems and build novel customer facing innovations on Amazon. Our applied scientists work closely with software engineers to put algorithms into practice. They also work in partnership with teams across Amazon to create enormous benefits for our customers.
As a member of the Amazon Interest team, you will be working on identifying customers unique hobbies and interests, like running, biking, gardening, etc. and build an alternate structure to existing product catalog around these interests. You would then use this structured data to create new immersive shopping experiences that customers would love. You would be expected to move fast, have good judgment on what is and what is not worth exploring, create simple and scalable solutions and identify correct problem sets. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon. You will keep the team up-to date with latest academic research in relevant fields.
Key job responsibilities
3+ years of building machine learning models for business application experience PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning
A day in the life
You are an Applied Scientist with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!
About The Team
Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.
About Our Organization
Consider the following problem: every day, millions of customers with unique interests and needs come to Amazon looking for products out of a catalog of over a billion items. Not only do we need to decide what content would be most helpful to customers, we also need to present it in an inspiring manner. The Personalization organization within Amazon is responsible for the secret sauce that not only made Amazon the industry pioneer in building recommender systems at scale, but is also continuing to help raise the bar for building delightful and highly personalized shopping experiences.
Basic Qualifications
3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3028136 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Applied Scientist jobs in
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#J-18808-Ljbffr
Sr. Applied Scientist, Amazon
role at
Amazon 1 day ago Be among the first 25 applicants Join to apply for the
Sr. Applied Scientist, Amazon
role at
Amazon Get AI-powered advice on this job and more exclusive features. Description
Are you interested in big data, machine learning, and product recommendations? If so, the Amazon Interests team might be the right place for you. We are a team in a fast-paced organization with a huge impact on hundreds of millions of customers. We innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Description
Are you interested in big data, machine learning, and product recommendations? If so, the Amazon Interests team might be the right place for you. We are a team in a fast-paced organization with a huge impact on hundreds of millions of customers. We innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
We are looking for Applied Scientists who love big data, and are capable of inventing and applying Machine Learning, Natural Language Processing, Image processing, Data Mining, Classification and Clustering techniques to solve real world problems and build novel customer facing innovations on Amazon. Our applied scientists work closely with software engineers to put algorithms into practice. They also work in partnership with teams across Amazon to create enormous benefits for our customers.
As a member of the Amazon Interest team, you will be working on identifying customers unique hobbies and interests, like running, biking, gardening, etc. and build an alternate structure to existing product catalog around these interests. You would then use this structured data to create new immersive shopping experiences that customers would love. You would be expected to move fast, have good judgment on what is and what is not worth exploring, create simple and scalable solutions and identify correct problem sets. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon. You will keep the team up-to date with latest academic research in relevant fields.
Key job responsibilities
3+ years of building machine learning models for business application experience PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning
A day in the life
You are an Applied Scientist with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!
About The Team
Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.
About Our Organization
Consider the following problem: every day, millions of customers with unique interests and needs come to Amazon looking for products out of a catalog of over a billion items. Not only do we need to decide what content would be most helpful to customers, we also need to present it in an inspiring manner. The Personalization organization within Amazon is responsible for the secret sauce that not only made Amazon the industry pioneer in building recommender systems at scale, but is also continuing to help raise the bar for building delightful and highly personalized shopping experiences.
Basic Qualifications
3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3028136 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Applied Scientist jobs in
Irvine, CA . Principal Research Scientist I -( On-site Irvine, CA)
Irvine, CA $121,000.00-$230,000.00 1 week ago Principal Research Scientist I -( On-site Irvine, CA)
Irvine, CA $97,500.00-$185,000.00 3 hours ago Irvine, CA $110,000.00-$130,000.00 11 hours ago Brea, CA $41,600.00-$62,400.00 3 hours ago Associate Research Scientist (Instrument Control and Acquisition)
Irvine, CA $220,000.00-$260,000.00 1 week ago Brea, CA $41,600.00-$62,400.00 3 hours ago Irvine, CA $220,000.00-$260,000.00 1 week ago Data Scientist – Generative AI & Medicare Risk Adjustment Analytics
Orange, CA $149,882.00-$224,823.00 2 weeks ago Junior/Mid-level Applied Data Scientist - Computer Vision & Generative AI
Irvine, CA $190,000.00-$258,100.00 1 week ago Irvine, CA $156,000.00-$296,500.00 2 weeks ago Senior AI/ML Applied Scientist - Generative AI
Expert AI/ML Applied Scientist - Generative AI
Staff Applied Scientist - Remote USA (*eligible states)
Bellflower, CA $200,000.00-$225,000.00 2 weeks ago Senior Applied Data Scientist – Computer Vision & Generative AI
Irvine, CA $186,000.00-$232,500.00 2 weeks ago Senior ML Scientist, Amazon Games AI Research
Irvine, CA $150,400.00-$260,000.00 2 weeks ago Irvine, CA $100,000.00-$165,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr