Machine Learning Engineer 2, Amazon
1 week ago
Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate, talented engineers and scientists on the next generation of intelligent customer-facing shopping experiences leveraging state-of-the-art deep learning and generative models? Our team is building internet-scale data solutions to power critical customer-facing shopping conversation experiences on the Amazon app and web. We are looking for a passionate, talented, and inventive SDE with a strong machine learning background, to lead the development of industry-leading technology with Large Language Models and Natural Language Processing.
The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.
As a software developer in this role, you will:
- Develop and maintain key services needed for evaluating and deploying large language models required for building conversational agents.
- Work with peers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process massive data, scale machine learning models while defining and optimizing criteria critical to the success of the customer experience.
- Lead and influence the overall tech strategy by helping define data, enrichment, model optimizations and evaluation.
- Lead the system architecture, and spearhead the best practices that enable a quality infrastructure.
- Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
- Tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon.
- Learn cutting-edge technologies and algorithms in the field of Generative AI advancing our journey to build the best conversational shopping agent.
Minimum 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.
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing.
- 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 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 here.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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 here. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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