Software Development Engineer, CPP SOPA Subsetter

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience
- 4+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- 1+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
- Good understanding of ML Ops, Agent based Gen AI concepts and training

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.
Are you an experienced software development engineer with a passion for applying state-of-the-art computer science and machine learning to solve real world problems that directly impacts millions of people? Are you up to the task of delivering innovative and scalable technology that manages automated classification of millions of products involving hundreds of thousands of suppliers and tens of millions of customers around the world? Classification and Policy Platform is looking for a Software Development Engineer to build technology to automate authoring of Standard Operating Procedures and sub sets domains based on machine trained datasets resulting in improving efficiencies that contribute directly to the top and bottom line of the stores organization.

Key job responsibilities
You will have an opportunity to work with cutting edge machine learning algorithms on large datasets and building self-service ML model training system using active learning techniques. Your will need to build Amazon scale ML applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.