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Staff Machine Learning Engineer

bjakcareerSeoul, KoreaActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

The Staff Machine Learning Engineer position at bjakcareer in Seoul, Korea, suits an experienced technical leader focused on scaling production machine learning systems. This hands-on role involves turning research capabilities into reliable software for proactive, AI-native applications.

Role Overview

The Staff Machine Learning Engineer leads the execution layer for bjakcareer in Seoul, Korea. The professional in this position handles the full lifecycle of machine learning systems, bridging research and practical product delivery.

Key Responsibilities

Manage end-to-end machine learning infrastructure, covering data, training, evaluation, inference, and deployment.
Develop and improve training and fine-tuning workflows for large models.
Create evaluation frameworks to track robustness, capability, safety, and real-world performance.
Build high-performance inference setups while optimizing cost, memory, latency, GPU usage, and reliability.
Construct data systems for synthetic and real-world training datasets.
Set up dependable production architecture to deploy, monitor, and upgrade models.
Collaborate with application engineering and research teams to integrate model features into products.
Balance technical trade-offs and iterate based on practical performance metrics.

Requirements

Background in developing and delivering production-ready machine learning systems rather than research prototypes.
Knowledge of modern large-model inference, evaluation, training, and fine-tuning.
Software engineering and systems foundation.
History of running machine learning workloads at scale, specifically GPU-based architectures.
Technical judgment to resolve ambiguous problems independently.
Focus on experimentation, measurement, and shipping.
Commitment to correctness, production quality, and reliability.

Skills and Tools

Python
PyTorch
JAX
GPU-based training and inference systems

About the Company

bjakcareer develops proactive applications for users globally, aiming to introduce intelligence to conversations, errands, organization, and workflows with minimal prompting. The organization operates as a small, hands-on, high-talent-density team where engineers maintain broad ownership and execute independently.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonPyTorchJAXGPU-based training and inference systemsMachine LearningFine-tuning

Questions candidates ask

Where is the job located?

The position is located in Seoul, Korea.

What tools and languages are required?

The tech stack includes Python, PyTorch or JAX, and GPU-based training and inference systems.

What is the interview process like?

The interview process consists of three to four interviews conducted via virtual meetings and/or onsite.

What level of experience is expected?

The candidate must have experience building and shipping production machine learning systems, rather than just research prototypes.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site