In this role you will leverage your engineering background and expertise to help develop generative AI for shopping. On a day-to-day basis, you will:

Develop 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 creating 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.

Key job responsibilities

In this role you will leverage your engineering background and expertise to help develop generative AI for shopping. On a day-to-day basis, you will:

- Develop 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 creating 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.

We are open to hiring candidates to work out of one of the following locations:

Palo Alto, CA, USA | Seattle, WA, USA

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience

- 3+ 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

- Experience in developing machine learning pipelines, developing large language model or natural language understanding models.

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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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.

---