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Machine Learning Engineer (Sponsored Products Search Sourcing, Amazon Advertising)
Requirements
- 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 ,
- Experience building complex software systems that have been successfully delivered to customers ,
- (Desirable) 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience ,
- (Desirable) Bachelor's degree in computer science or equivalent ,
- (Desirable) Experience in machine learning, data mining, information retrieval, statistics or natural language processing ,
- (Desirable) Experiences with LLM, prompt engineering
What the job involves
- We are looking for a Machine Learning Engineer II who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of ad serving on Amazon search ,
- You will build services to handle billions of requests per day, while maintaining response latency in milliseconds and meeting strict SLA requirements ,
- It is quite routine for our systems to operate on massive datasets using distributed frameworks ,
- You will design and code, troubleshoot, and support high volume and low latency distributed systems ,
- The solutions you create would ensure relevant ads are served to Amazon's customers ,
- You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon ,
- This role will provide exposure to innovations in product search, information retrieval, natural language processing (NLP), LLM training, deep learning, and image processing ,
- In addition to being a strongly motivated IC, you will also be responsible for mentoring junior engineers and guiding them to deliver high impacting products and services for Amazon customers and sellers ,
- Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems ,
- Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components ,
- Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own
