Do you want to join an innovative team of engineers and scientists who use terabytes of data and create state-of-the-art algorithms to push the boundaries of AI We are building the foundational behavioral model for Amazon Stores using LLM and Large Model training techniques that fuses general world knowledge with Amazon e-commerce domain knowledge. We are searching for engineers who are passionate about technology innovation and customer experience and are ready to make a lasting impact on the industry.
So if youre passionate about pushing the limits of AI thrive in a fast-paced and innovative environment and are ready to make a lasting impact on the world this is your chance! Join us on this revolutionizing adventure!
Key job responsibilities
- Ability to quickly learn latest technologies and algorithms in the field of Generative AI and LLMs.
- Responsible for the development and maintenance of key platforms needed for developing evaluating and deploying LLM for real-world applications.
- Work with other team members to investigate design approaches prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process massive data scale machine learning models while optimizing
- 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
- Bachelors degree in computer science or equivalent
- Experience with ML framework e.g. PyTorch Spark MMLib Tensorflow developing machine learning models
- Experience with ML model training/inference optimization
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience with LLM training/inference optimization at algorithm level.
- Experience with LLM training/inference optimization at system level: KV cache optimization Quantization etc
- Experience with PyTorch ops memory communication and/or data loading optimization at scale
- Masters degree or PhD in Computer Science or a related technical field
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.