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Staff Machine Learning Engineer

bjakcareerIndonesiaActAI 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

This role suits an experienced machine learning engineer who wants to own the execution layer of intelligence systems in Indonesia. The position involves transforming research and model capabilities into scalable production systems for proactive applications.

Role Overview

The Staff Machine Learning Engineer at bjakcareer operates at the intersection of research, systems, and product development. The position centers on building proactive applications that bring intelligence to everyday workflows and conversations with minimal prompting. The professional in this role oversees the complete machine learning lifecycle, encompassing data management, model training, evaluation, inference, and deployment.

Key Responsibilities

Own the end-to-end machine learning systems powering the company, spanning data, training, evaluation, inference, and deployment.
Build and evolve training and fine-tuning pipelines for large models.
Design evaluation systems to measure capability, robustness, safety, and real-world product performance.
Architect high-performance inference systems focusing on latency, GPU utilization, memory, cost, and reliability.
Build data pipelines and systems for real-world and synthetic training data.
Establish reliable production infrastructure for model deployment, monitoring, and continuous improvement.
Partner with research and application engineering teams to translate model capabilities into product enhancements.
Make technical trade-offs and iterate rapidly based on real-world performance.

Requirements

Experience building and shipping machine learning systems for production use.
Understanding of modern large-model training, fine-tuning, evaluation, and inference.
Software engineering and systems fundamentals.
Experience operating machine learning workloads at scale, particularly GPU-based systems.
Technical judgment and the ability to navigate ambiguous problems independently.
Focus on experimentation, measurement, and shipping.
Standards for correctness, reliability, and production quality.

Skills and Tools

Python
PyTorch
JAX
GPU-based training and inference systems

About the Company

bjakcareer develops proactive applications designed to bring intelligence to conversations, errands, organization, and workflows with minimal prompting. The organization focuses on high reliability for long-running workflows, persistent context, and real-world task completion to reduce hallucinations. The team consists of a small, hands-on group 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

Questions candidates ask

What is the location of the position?

The position is located in Indonesia.

What are the primary responsibilities for this role?

The role involves owning end-to-end machine learning systems, building fine-tuning pipelines for large models, designing evaluation systems, architecting inference systems, and establishing production infrastructure.

What technologies are used in the tech stack?

The tech stack includes Python, PyTorch, 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, evaluated by technical team members.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site