What are the responsibilities and job description for the Sr. Applied Scientist, Search Ranking position at Amazon?
DESCRIPTION
The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.
Within Amazon Search, the Relevance Ranking team has a mission to solve customer problems that require advancing the state of the art in ranking. We work backwards from the customer to create value for them by addressing an underlying, unsolved scientific problem. We deploy our solutions through distributed systems that operate at millisecond latencies at Amazon scale. We strive to publish our solutions and open-source our software so that the broader scientific community can benefit.
As a Sr. Applied Scientist on our team, your role is to leverage your strong background in Computer Science, Deep Learning and Generative AI to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned models that impact millions of customers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with deep learning models and information retrieval/recommendation systems. We are particularly interested in experience applying natural language processing, deep learning, and generative AI at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.
Your responsibilities include:
- Analyze the data and metrics resulting from traffic into Amazon's product search service.
- Design, build, and deploy effective and innovative ML solutions to improve search ranking.
- Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
- Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.
Your benefits include:
- Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers.
- The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems.
- Excellent opportunities, and ample support, for career growth, development, and mentorship.
- Competitive compensation, including relocation support.
The Relevance Ranking team operates primarily out of Amazon's Palo Alto office. You will have an opportunity to influence our goals and mission. Your solutions will impact all of Amazon's retail customers. We are a mix of applied scientists and software engineers who collaborate with other teams within Amazon Search to solve and deploy deep learning solutions at scale.
BASIC QUALIFICATIONS
- 5 years of building machine learning models for business application experience
- PhD, or Master's degree
- Experience programming in Java, C , Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
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.
Salary : $150,400 - $260,000
