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