Amazon · 2 months ago
Sr AI Language Engineer, Amazon Rufus
Seattle, Washington, USA
Full-time
Onsite
Mid, Senior Level
$84K/yr - $185K/yr
4+ years expAmazon is a leading technology company, and they are seeking a Sr AI Language Engineer to enhance their Conversational Shopping team. This role focuses on driving efficiencies and innovation in AI-assisted shopping, requiring collaboration across various teams to improve the shopping experience through language technology.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Produce, process and manipulate different types of language data, analyze, and provide efficient solutions
Automate operations and perform data analysis using coding/scripting language (e.g. Python)
Develop LLM-assisted workflows and annotations solutions (e.g. LLM-as-a-judge) to support Human-in-the-loop evaluations
Design and lead editorial data production/collection by defining scope with internal customer teams
Define clear editorial workflows (SOPs) to meet or exceed the quality bar
Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis
Collaborate with editors, applied scientists, engineers, and product managers to deliver the optimal customer experience and define metrics, guidelines, and workflows to continue doing so
Establish processes and mechanisms to onboard and train editors on an ongoing basis
Handle work prioritization and deliver based on business priorities
Be flexible in changes to conventions deployed in response to customers’ requests and change workflows accordingly
Qualification
Required
Knowledge of and proficiency in the use of Python scripting language
Experience communicating technical concepts and processes using clear, simple language and visuals
Experience working in a fast-paced environment similar to a high-tech start-up
Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines
Master's degree, or a PhD and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
Strong Experience in Natural Language Processing, Machine Learning, AI or Large Language Models
Knowledge of Regex, SQL, MS Excel, Git
Familiarity with annotation tools and workflows
Preferred
PhD, or a Master's degree and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
PhD in a quantitative field, or PhD and 4+ years of data scientist experience
Experience with language annotation and other forms of data markup
Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
Knowledge of user experience principles and techniques
Experience in online retail operations or similar field
Experience with AWS services (S3, Sagemaker, ML language services, etc.)
Benefits
Equity
Sign-on payments
Medical
Financial
Other forms of compensation
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-11
Company data provided by crunchbase