Description The Amazon Search Mission Understanding team is on a mission to ensure a successful and delightful shopping journey for the shoppers on Amazon search page. We drive deep understanding of our shoppers by focusing on their shopping mission and preferences, delivering scalable and responsive solutions to help fulfill the shopping mission in an efficient way, and build experiences that gain customer trust. We build signals for other teams to consume, and work together on applications to reflect our understanding of the search missions. We carefully monitor and improve the shopper experience and make careful evaluations between long-term and short-term business trade-offs. This role requires a pragmatic problem solver comfortable with ambiguity, with deep expertise in data processing at scale. A candidate will need to leverage a wide range of skills and best practices including an emphasis on data processing at scale in customer-facing applications. Additionally, we are seeking candidates with determination and rigor in engineering, deep curiosity and interest for applied sciences, creativity, and sound logic and reasoning. Key job responsibilities In this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will: * Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems * Analyze log data to determine future system design and configure parameters Build scalable and production-ready data pipelines to extract features from petabytes of raw data Integrate models and algorithms in complex, real-time production systems on immense scale * Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production * Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms * Serve as a liaison to our customer/seller-facing partner teams in case of escalations Project manage cross-functional Machine Learning initiatives 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 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 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 $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.