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Technical Lead, Machine Learning

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

About this role

Based in Seoul, Korea, the Technical Lead, Machine Learning position at bjakcareer involves directing the execution layer of intelligence systems to transform research into scalable production environments. This hands-on leadership role is ideal for professionals with strong software and machine learning engineering capabilities who want to build reliable, AI-native consumer applications.

Role Overview

This position directs the development of proactive applications that replace basic communication, organization, and workflow tools with minimal user prompting. The professional chosen for this role will bridge the gap between research and product delivery by managing the complete machine learning lifecycle, focusing on high reliability, persistent context, and real-world task completion.

Key Responsibilities

Direct end-to-end machine learning infrastructure spanning data pipelines, training routines, evaluation frameworks, inference engines, and deployment systems.
Develop and scale training and fine-tuning procedures for large language models.
Create evaluation protocols to test capability, robustness, safety, and product performance.
Build high-performance inference setups that manage latency, GPU capacity, memory consumption, cost, and system reliability.
Establish production infrastructure for monitoring, deploying, and optimizing operational models.
Collaborate with research and application engineering teams to integrate model features into user-facing products.

Requirements

Background in developing and deploying production-grade machine learning systems rather than research demos.
Knowledge of modern large-model training, fine-tuning, assessment, and inference.
Software engineering and systems architecture fundamentals.
Practice running machine learning workloads at scale, particularly GPU-based architectures.
Technical judgment to navigate ambiguous problems and make pragmatic trade-offs.

Skills and Tools

Python
PyTorch
JAX
GPU-based training and inference systems

About the Company

bjakcareer develops AI-native applications designed to bring proactive intelligence to everyday conversations, errands, and workflows without requiring complex user prompting. The organization operates as a small, high-talent-density team that emphasizes independent execution, rapid decision-making, and engineering fundamentals.

How to Apply

Candidates should visit the official bjakcareer careers page to submit an application for this opportunity.

Skills and tech stack

PythonPyTorchJAXGPU-based training and inference systemsMachine LearningFine-tuning

Questions candidates ask

Where is the job located?

The role is located in Seoul, Korea.

What is the primary focus of the machine learning systems?

The focus is on achieving high reliability for long-running workflows, persistent context, and real-world task completion with minimal prompting.

What technologies and frameworks are used in the tech stack?

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

What does the interview process involve?

The interview process consists of three to four interviews conducted via virtual meetings and/or onsite sessions, evaluated by technical team members.

What kind of team environment does bjakcareer have?

The company operates as a small, hands-on, high-talent-density team where engineers have broad ownership and make decisions quickly.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site