What will you do?: You will work with a multidisciplinary team to develop solutions across multiple programs (text search, image search, local information, etc.) to:
(i) build and automate training data generation: You will build a data pipeline for producing high-quality training data sets for our web information retrieval and ranking models, having direct and significant impact on our search quality. You will help improve the data quality, including mining for hard negatives, incorporating several dimensions of quality (e.g. relevance, content freshness, page trustworthiness, etc.), as well as scale the pipeline to billions of examples. You will work closely with scientists to address their specific modeling needs and help develop metrics to communicate your progress on data quality and scale.
(ii) accelerate experimental velocity: develop leveraged systems to enable the team to experiment faster. This includes centralizing evaluation workflows and developing tools and systems to streamline production model optimization and deployment.
(iii) improve system understandability: develop advanced analytics and automate failure space analysis processes to help the team debug and understand search quality issues. You will partner with the broader AGI analytics team to coordinate metrics for our information retrieval engine with user signals or downstream dependencies to debug across systems as well.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.