About this role
Based in Seoul, Korea, the Machine Learning Platform Engineer position involves building and operating the underlying infrastructure for ActAI's proactive applications. This role suits software professionals who want to design robust AI systems and tooling for production environments.
Role Overview
ActAI is hiring a Machine Learning Platform Engineer to develop the infrastructure and platforms that drive intelligent applications in Seoul, Korea. The professional in this role will handle model training, evaluation, deployment, inference, and system observability. Collaboration with researchers, AI engineers, and product teams is essential for scaling production workloads and reducing application latency.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ActAI aims to create proactive applications for users globally without requiring complex prompting, bringing intelligence to daily workflows, conversations, and tasks. The company focuses on persistent context, real-world task completion, and high reliability for long-running workflows to reduce model hallucinations.
How to Apply
Interested candidates should visit the official bjakcareer company careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
Where is the Machine Learning Platform Engineer position located?
The job is located in Seoul, Korea.
What tools and technologies are used in the tech stack?
The tech stack includes Python, PyTorch, JAX, vLLM, SGLang, TensorRT-LLM, cloud infrastructure, distributed systems, GPU infrastructure, and vector databases.
What is the mission of ActAI?
The company builds proactive applications to bring intelligence to tasks, conversations, and workflows with minimal to no prompting.
Who will the Machine Learning Platform Engineer work with?
The engineer works closely with AI engineers, researchers, and product engineers.
How can a candidate apply for this role?
Candidates must apply on the official company careers page via bjakcareer.