Job Information
Amazon Senior Software Engineer, Stores Foundational AI in Seattle, Washington
Description
We’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We 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 responsibilities
As a Senior Software Engineer in the Training Infrastructure team, you will be responsible for developing and applying the state of art technology to support our model trainings, such as enabling long context in large language models and improving model training efficiency. You will be the expert in this domain and active coach/mentor other team members to help build the strategic engineering capabilities within this organization.
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA | Seattle, WA, USA
Basic Qualifications
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Experience with ETL, scheduling, workflow orchestration framework, e.g., Airflow, Mlflow, Kubeflow, etc
Bachelor's degree in computer science or equivalent
Preferred Qualifications
- - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- - Experience with developing machine learning pipelines at scale
- - Masters degree or PhD in Computer Science or a related technical field
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 $151,300/year in our lowest geographic market up to $261,500/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.