World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.
Bachelor's degree, ideally either in Business (Economics, Finance, Management) or technical field (Engineering, Computer Science, Data Science)
Minimum 3-4 years of full-time work experience preferred, with a focus on leveraging analytics and AI tools to drive product growth and management, or in technical roles (Data Scientists, Data Engineers, Software Engineers)
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PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields preferred or strong industry experience in similar fields, ideally with familiarity with Asia-Pacific/Singapore research resources.
Proficient in deep learning; candidates with hands-on experience in training and inference of large-scale models, such as LLMs, VLMs, VLAs, and World Models, are preferred.
Strong programming skills, proficient in C++ and Python; Candidates with awards in competitive programming contests (e.g., ACM/NOI/IOI) are a plus.
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You'll own the end-to-end video generation pipeline that powers ad creative production — from vendor selection and prompt/media orchestration to scalable serving, quality evaluation, and reliability in production. This is a hands-on engineering role focused on shipping systems that move business metrics, not just prototypes.
What you'll do
• Build and own video generation pipelines: prompt orchestration, asset conditioning, shot assembly, rendering, post-processing, and delivery.
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Integrate recommendation and search capabilities into an LLM Agent framework, moving from passive content delivery to proactive intent fulfillment
Mentor senior engineers and help define the broader recommendation research and engineering strategy
Master's or above in Computer Science, Mathematics, or a related field from a top university; 8+ years of industry experience with 5+ years in core recommendation or search roles
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Ensure pipelines enable agents to ingest and harmonize structured and unstructured data from EHR, biobank, lifestyle, and population sources—powering analytics, large language models, and advanced machine learning.
Champion a modern engineering culture: platform thinking, automation, CI/CD, prompt engineering, responsible and explainable AI, and continuous learning from the AI frontier.
Degree in Computer Science, Engineering, or related field.
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Training and Development: Develop and deliver training programs to educate MFG teams on AI concepts, tools, and best practices, fostering a culture of AI experimentation and learning within MFG APAC
7 to 10 years of robust experience in enterprise technical architecture, cloud infrastructure provisioning, or highly technical product management.
Deep understanding and hands-on experience with generative AI models, particularly Google Gemini, and a proven ability to leverage these capabilities for advertising-specific applications (e.g., content creation, campaign optimization, audience insights).
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In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us.
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The AI Technologist operates as the core technical architect in charge of the overarching infrastructure and workflow strategy. This role functions akin to an advanced software architect, specializing in the integration and application of pre-existing foundational generative models (such as Google Gemini) to construct comprehensive, end-to-end automated systems that serve immediate commercial purposes.
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