Lead the product roadmap for Coupang Taiwan's Customer Returns domain, owning end-to-end product development of post-purchase experiences that wow customers from order to resolution.
Responsibilities
Define and drive the product roadmap for the Customer Returns domain, prioritizing initiatives that enhance the core customer experience
Lead end-to-end product development from conception to launch and iteration
Develop hypotheses and run experiments (A/B testing, etc.) to identify trends and deliver measurable business impact
Partner cross-functionally with engineering, ML, UX, analytics, and operations teams — including globally distributed stakeholders
Use data-centric approaches to inform decisions and prioritize trade-offs
Requirements
Bachelor's degree in engineering, computer science, or a technical/related discipline (or equivalent experience)
Build advanced AI-generated content (AIGC) quality frameworks and agentic flows to generate content for proactive surfaces like Discover and Notifications.
Develop AI-generated content through advanced context engineering and agentic feedback loops to identify and deliver engaging stories globally.
Conduct advanced quality evaluations and leverage downstream dense recommendation signals and feedback to improve the performance of the AIGC stack.
Resolve key system-level bottlenecks in recommending and serving AIGC content to optimize efficiency for low-latency surfaces.
Navigate high ambiguity, drive technical innovation for AIGC quality, and influence the broader organizational machine learning strategy.
Design and implement end-to-end machine learning pipelines, own model development lifecycle, mentor junior AI engineers, partner with data engineers and stakeholders, optimize AI models, document architecture, and contribute to internal AI/ML capability building.
Responsibilities
Design and implement end-to-end machine learning pipelines
Own model development lifecycle including feature engineering, training, validation, and deployment
Mentor junior AI engineers and analysts on ML best practices
Partner with data engineers and business stakeholders to translate requirements into ML solutions
Drive optimization of existing AI models through experimentation
Set the technical direction for how Qualified Health builds agentic AI systems across multiple product lines, defining shared architecture and engineering standards.
Compensation
The pay range for this role is between $250,000 and 310,000, depending on skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Responsibilities
Define the technical architecture and roadmap for agentic workflow infrastructure shared across multiple product lines.
Partner with engineering leadership on build-vs-buy and platform investment decisions.
Set engineering standards for LLM evaluation, deployment, safety, and monitoring across several teams, and help shape QH’s AI governance approach.
Act as a technical escalation point for high-ambiguity problems that cross product lines.
Mentor and develop Staff and Senior engineers and contribute to the applied AI career ladder.
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field
Master’s degree in Computer Science, Engineering, or related field
Support development of AI-powered estimating tools, cost model development, and data collection, organization, and analysis, particularly working with unstructured data.
Compensation
Summary Pay Range: $97,750 - $132,250
Responsibilities
Work with Boeing data systems (IRE, EAS, PMAS, CSPR, etc.) to create databases and data tools, understanding how our different data sources connect to link them for various data tool solutions, managing the ETL process
Develop analytical solutions for imperfect datasets
Work with and understand datasets from a variety of programs/platforms and systems; Data normalization
Map data to common baselines to normalize and analyze cross platform data
Leverage Large Language Models (LLMs) to process and analyze text data
Requirements
Bachelor’s degree or higher in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
Contribute to the development and improvement of advanced artificial intelligence systems by ensuring the quality, accuracy, and linguistic integrity of Hindi-language data used to train and evaluate Large Language Models (LLMs).
Responsibilities
Coordinate Hindi language quality activities
Ensure linguistic accuracy
Support LLM data preparation
Monitor data quality
Coordinate quality workflows
Requirements
Academic background in Hindi, linguistics, translation studies, computational linguistics, or a related discipline
Seeking a technically skilled AI Developer to design and build intelligent applications that enhance business processes and automate workflows using LLMs and generative AI technologies.
Responsibilities
Design, develop, and deploy AI-powered applications and solutions.
Integrate Large Language Models (LLMs) and generative AI tools into existing products and systems.
Build AI agents, chatbots, and automated workflows to streamline business processes.
Work with APIs and third-party AI platforms to introduce intelligent functionalities.
Implement Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.
Seeking a technically skilled AI Developer to design and build intelligent applications that enhance business processes and automate workflows using large language models, generative AI technologies, and machine learning tools.
Responsibilities
Design, develop, and deploy AI-powered applications and solutions
Integrate Large Language Models (LLMs) and generative AI tools into existing products and systems
Build AI agents, chatbots, and automated workflows to streamline business processes
Work with APIs and third-party AI platforms to introduce intelligent functionalities
Implement Retrieval-Augmented Generation (RAG) architectures and integrate vector databases
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