Internship Mathematical Optimization Jobs in Renton, WA

The Amazon Search Navigation AI team is on a mission to help customer narrow down from their search intent to a handful products for making their final purchase decisions. The team generates highly relevant, context-aware, and personalized search refinements, optimizing their presentation order in a variety of Search Navigation UIs and guiding users to the most relevant search results. The team also owns navigation P0 metrics and defect guardrails to ensure performance and reliability. Additionally, the team develops and maintains engineering infrastructures, such as the Navigation Experience Service (NES) and Alster Refinement Provider Service (ARPS). These services connect to related search systems, serving 3B+ queries worldwide daily. They also support launches of new navigation contents and UIs and enable rapid experimentation both offline and online.
This role requires a pragmatic problem solver comfortable with ambiguity, with deep expertise in data processing at scale. A candidate will need to leverage a wide range of skills and best practices including an emphasis on data processing at scale in customer-facing applications. Additionally, we are seeking candidates with determination and rigor in engineering, deep curiosity and interest for applied sciences, creativity, and sound logic and reasoning.
Key job responsibilities
In this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will:
* Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems
* Analyze log data to determine future system design and configure parameters
Build scalable and production-ready data pipelines to extract features from petabytes of raw data
Integrate models and algorithms in complex, real-time production systems on immense scale
* Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production
* Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms
* Serve as a liaison to our customer/seller-facing partner teams in case of escalations
Project manage cross-functional Machine Learning initiatives
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
- 3+ years of software development engineer or related occupational experience
- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 3+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 5+ 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 and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
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