Applied Science Manager, Core Search
Apply NowCompany: Amazon
Location: Palo Alto, CA 94303
Description:
Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. Our Search team designs, builds, and delivers high performance, fault-tolerant, scalable distributed search engine used by millions of Amazon customers every day. The Amazon Search Relevance org is responsible for product ranking in Search.
This role offers a compelling mix of technical innovation, leadership, and people management. You will lead a team of scientists and engineers to build Machine Learning solutions to address business critical needs. You will work closely with customers, product and program managers, other engineering managers, and tech leads and to understand what you need to build. You will develop the science and engineering roadmaps, communicate your vision and milestones to leadership and to your collaborators. You will deliver results that impact hundreds of millions of Amazon customers worldwide. A solid track record in defining and executing on a large-scale, distributed systems and a relentless desire to improve customer experience are requirements for success in this role. Your team's work is highly visible to senior leadership and directly impacts multiple organization goals and beyond.
Learn more about the Amazon Search team here: https://www.amazon.jobs/en/teams/search
Key job responsibilities
You will own a number of projects focusing on improving early phase ranking, ranging from personalization and spam detection to introducing reinforcement learning techniques for fast temporal adaptation.
A day in the life
As an Applied Science Manager at Amazon, you will spend equal amounts of time diving deep into your team's projects and crafting narratives that explain those projects to Amazon leadership.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Knowledge of machine learning approaches and algorithms
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 $165,500/year in our lowest geographic market up to $286,000/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.
This role offers a compelling mix of technical innovation, leadership, and people management. You will lead a team of scientists and engineers to build Machine Learning solutions to address business critical needs. You will work closely with customers, product and program managers, other engineering managers, and tech leads and to understand what you need to build. You will develop the science and engineering roadmaps, communicate your vision and milestones to leadership and to your collaborators. You will deliver results that impact hundreds of millions of Amazon customers worldwide. A solid track record in defining and executing on a large-scale, distributed systems and a relentless desire to improve customer experience are requirements for success in this role. Your team's work is highly visible to senior leadership and directly impacts multiple organization goals and beyond.
Learn more about the Amazon Search team here: https://www.amazon.jobs/en/teams/search
Key job responsibilities
You will own a number of projects focusing on improving early phase ranking, ranging from personalization and spam detection to introducing reinforcement learning techniques for fast temporal adaptation.
A day in the life
As an Applied Science Manager at Amazon, you will spend equal amounts of time diving deep into your team's projects and crafting narratives that explain those projects to Amazon leadership.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Knowledge of machine learning approaches and algorithms
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 $165,500/year in our lowest geographic market up to $286,000/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.