Level

Amazon

Software Development Engineer II, Project Dawn

Amazon is hiring a Software Development Engineer II, Project Dawn in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Level.

AI in this role

Design and build software systems powered by generative AI and large language models for customer-facing shopping experiences.

pythondeep-learningllms
generative-aidistributed-systemsmachine-learning
Do you want to build software systems powered by generative AI that serve hundreds of millions of customers? The OAS Offers Tech organization owns the systems which make the world's product catalog available on Amazon and ensure they are accurate, complete, and highly available to customers at scale. We are building the next generation of generative AI backed solutions to power critical customer facing shopping experiences across all Amazon surfaces, including the Amazon app, web, Alexa, Rufus, and beyond.

As an SDE 2 on this team, you will own the end to end design and delivery of systems that leverage state of the art deep learning and generative models. You will work alongside a team of passionate engineers and scientists to solve problems like intelligent offer extraction, automated product listing enrichment, and AI powered selection tools that operate at internet scale. You will drive technical decisions, navigate ambiguity, and influence the direction of our architecture.

This is a unique opportunity to build experiences used by hundreds of millions of people worldwide while tackling technical challenges at the intersection of large scale distributed systems and generative AI. If you are excited about shipping high impact, customer facing products and want to shape the future of how customers discover and purchase products on Amazon, we would love to hear from you.

Key job responsibilities
As a software developer in this role, you will:
* Design, develop, and maintain services that leverage large language models and generative AI to power intelligent shopping experiences at scale.
* Build and own distributed software components powering end to end production selection processing pipelines, from ingestion of the world's product catalog through to making offers available for customers.
* Develop deep understanding of Amazon's catalog systems that power the shopping experience, and influence their evolution to support next generation selection and offer processing.
* Collaborate with applied scientists to process massive datasets, scale ML models, and define evaluation criteria that drive customer experience quality.
* Lead tech strategy by defining data enrichment pipelines, model optimization frameworks, and evaluation methodologies. Own system architecture decisions that enable reliable, scalable infrastructure.
* Prototype new technologies, evaluate technical feasibility, and bring generative AI techniques into production.
* Proactively identify and resolve operational gaps across the systems you own. Raise the technical bar through meaningful code reviews and constructive feedback to teammates at all levels.
* Mentor junior engineers through design guidance and operational excellence, helping grow the team's overall capability.

Basic qualifications

- 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

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer II, Project Dawn at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Generative AIDistributed SystemsMachine learningPythonDeep learningLLMs

Also common in software engineer jobs at this level

Pay

This job starts at
$144k
Typical software engineer job
$168k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where generative ai was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used Deep learning in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Generative AI, Distributed Systems, Machine learning, Python, and Deep learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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