About this role
Based in Indonesia, the Principal Machine Learning Engineer role at bjakcareer involves owning the execution layer of the company's intelligence systems to bridge research and production. This hands-on leadership position suits an experienced practitioner who wants to build reliable, scalable machine learning infrastructure for proactive applications.
Role Overview
The Principal Machine Learning Engineer directs the end-to-end machine learning infrastructure at bjakcareer in Indonesia. The position focuses on translating model capabilities into reliable, production-ready systems that support proactive, AI-native applications for global users.
Key Responsibilities
Requirements
Skills and Tools
About the Company
bjakcareer builds proactive, AI-native applications designed to bring intelligence to everyday tasks, conversations, and workflows without complex prompting. Operating as a small, hands-on team with high talent density, the organization emphasizes broad engineer ownership, rapid decision-making, and strong engineering fundamentals.
How to Apply
Interested candidates should apply directly on the official bjakcareer company careers page.
Skills and tech stack
Questions candidates ask
Where is the Principal Machine Learning Engineer position located?
The role is located in Indonesia.
What are the primary programming languages and frameworks used in this role?
The tech stack includes Python, PyTorch, and JAX, alongside GPU-based training and inference systems.
What does the interview process look like?
The process consists of three to four interviews conducted via virtual meetings and/or onsite, evaluated by technical team members.
What level of experience is required for this position?
This is a hands-on leadership role requiring candidates to have built or shipped real machine learning systems used in production.
