Amazon
Software Dev Engineer II, Stores Foundational AI, Amazon
Amazon, Palo Alto, California, United States, 94306
Software Dev Engineer II, Stores Foundational AI, Amazon
Stores Foundational AI (SFAI) is the team powering the Amazon Rufus conversational shopping product. We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesDevelop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.Create tooling to accelerate model experimentation and draw key insights from diverse aspects of model performance metrics.Interface with partner engineering teams, applied scientists, and product managers to define requirements for production systems, collaborate on science experimentation, and create a plan for deployment.Move quickly and navigate ambiguity, make short-term and long-term trade-offs, and deliver incrementally.Work on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering.Minimum Qualifications3+ 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 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. For individuals with disabilities who would like to request an accommodation, please visit
Amazon Disability .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
Amazon Employee Benefits .
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Stores Foundational AI (SFAI) is the team powering the Amazon Rufus conversational shopping product. We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesDevelop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.Create tooling to accelerate model experimentation and draw key insights from diverse aspects of model performance metrics.Interface with partner engineering teams, applied scientists, and product managers to define requirements for production systems, collaborate on science experimentation, and create a plan for deployment.Move quickly and navigate ambiguity, make short-term and long-term trade-offs, and deliver incrementally.Work on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering.Minimum Qualifications3+ 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 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. For individuals with disabilities who would like to request an accommodation, please visit
Amazon Disability .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
Amazon Employee Benefits .
#J-18808-Ljbffr