DESCRIPTION

We are looking for an experienced software engineer to join our team and work on supporting cutting-edge generative AI projects.

Key job responsibilities

• Design and build scalable systems to responsibly access and process available information from the web.
• Optimize the data processing architecture to ensure performance, scalability, resilience, and cost-effectiveness..
• Implement robust systems to process content and extract meaning.
• Develop data pipelines and infrastructure to support petabyte-scale datasets.
• Work closely with scientists and other engineers to rapidly prototype and deploy new algorithms.
• Write high quality, well-tested production code in languages like Python, spark, Java, Scala.
• Continuously explore and implement innovative solutions to complex technical challenges, in order to advance what’s possible in large-scale information processing.

About the team
Our dynamic team comprises talented software engineers and applied scientists united by a shared passion for innovative content acquisition and processing systems. Together, we are building a highly scalable, state-of-the-art system that seeks to harness the world’s knowledge in new ways to best serve our customers.

BASIC QUALIFICATIONS

• 3+ years of non-internship professional software development experience
• Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

• Bachelor’s degree in computer science or equivalent
  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 $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

• Design and build scalable systems to responsibly access and process available information from the web.
• Optimize the data processing architecture to ensure performance, scalability, resilience, and cost-effectiveness..
• Implement robust systems to process content and extract meaning.
• Develop data pipelines and infrastructure to support petabyte-scale datasets.
• Work closely with scientists and other engineers to rapidly prototype and deploy new algorithms.
• Write high quality, well-tested production code in languages like Python, spark, Java, Scala.
• Continuously explore and implement innovative solutions to complex technical challenges, in order to advance what’s possible in large-scale information processing