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Lead Engineer, Machine Learning

bjakcareerSingaporeActAI 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

Bjakcareer is hiring a Lead Engineer, Machine Learning for a full-time position based in Singapore. This hands-on leadership role suits an experienced engineer who wants to manage the entire machine learning execution layer and turn research models into reliable production systems.

Role Overview

The Lead Engineer, Machine Learning position at Bjakcareer involves driving the execution layer of intelligence for proactive applications. The professional in this role operates across the full model lifecycle, bridging research, systems, and product development to build reliable workflows and minimize hallucinations.

Key Responsibilities

Manage end-to-end machine learning systems covering data, training, evaluation, inference, and deployment.
Create and develop training and fine-tuning pipelines for large models.
Formulate evaluation systems to track capability, robustness, safety, and performance.
Construct high-performance inference systems to optimize latency, memory, cost, GPU utilization, and reliability.
Develop data pipelines for synthetic and real-world training data.
Set up production infrastructure for model deployment, monitoring, and continuous improvement.
Collaborate with research and application engineering teams to integrate model capabilities into products.
Make pragmatic technical decisions and iterate based on real-world outcomes.

Requirements

Demonstrated background in building and delivering production-grade machine learning systems rather than research prototypes.
Solid comprehension of modern large-model fine-tuning, training, evaluation, and inference.
Strong fundamentals in software engineering and systems.
Practical background running machine learning workloads at scale, specifically with GPU-based systems.
Sound technical judgment and independence in solving ambiguous problems.
Focus on experimentation, measurement, and shipping.
Commitment to correctness, reliability, and production quality.

Skills and Tools

Python
PyTorch
JAX
GPU-based training and inference systems

About the Company

Bjakcareer builds proactive applications designed for users worldwide to handle conversations, errands, organizing, and workflows with minimal prompting. The organization operates as a small, hands-on team with high talent density, offering engineers broad ownership and independent execution.

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 Lead Engineer, Machine Learning role located?

The position is based in Singapore.

What technologies and tools are used in this role?

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

What does the interview process look like?

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

What is the primary focus of the machine learning products?

The focus is on achieving high reliability for long-running workflows, maintaining persistent context, achieving real-world task completion, and reducing hallucinations for proactive applications.

Is this a management-only or hands-on position?

This is a hands-on leadership role where the engineer owns the execution layer and operates directly across the model lifecycle.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site