Member of Technical Staff, Machine Learning
About this role
This role suits engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world machine learning. The Member of Technical Staff, Machine Learning position is located in Seoul, Korea, and involves building core machine learning components for production systems.
Role Overview
ACTAI seeks a Member of Technical Staff, Machine Learning in Seoul, Korea to build core machine learning components. Personnel will operate on real production systems starting day one to understand how large-scale machine learning behaves outside of research settings. The position involves working alongside senior machine learning engineers and product teams under production constraints involving latency, cost, reliability, and safety.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI focuses on developing proactive applications designed for users worldwide who are unfamiliar with complex prompting. The organization aims to integrate intelligence into conversations, errands, organizing, and workflows with minimal or no prompting. Products center on achieving high reliability for long-running workflows, persistent context, and real-world task completion to reduce hallucinations.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The position is located in Seoul, Korea.
What technical stack is used in this role?
The tech stack includes Python, PyTorch or JAX, and production machine learning systems operating on GPUs.
What will the day-to-day work involve?
The work involves building and improving machine learning components, fine-tuning models, building data pipelines, debugging performance issues, and shipping improvements within production constraints.
How many interview rounds are there?
The interview process consists of three to four interviews conducted via virtual meetings and/or onsite sessions.