Lead ML Systems Engineer: From Research to Production

Bjak; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Bjak is seeking a Lead Engineer, Machine Learning to own the execution layer of our intelligent systems. You will turn research and model capabilities into reliable, scalable production systems across data, training, evaluation, inference, and deployment.

You will lead hands-on work spanning data pipelines, training loops, evaluation metrics, and high-performance inference. The role emphasizes pragmatic trade-offs, collaboration with researchers and engineers, and shipping robust ML solutions.

Qualifications

• Experience shipping ML systems in production, not just research prototypes.
• Strong understanding of large-model training, fine-tuning, evaluation, and inference.
• Strong software engineering and systems fundamentals.
• Experience operating ML workloads at meaningful scale, particularly GPU-based systems.
• Strong technical judgment and the ability to navigate ambiguous problems independently.
• A bias toward experimentation, measurement, and shipping.
• High standards for correctness, reliability, and production quality.

Responsibilities

• Own the end-to-end ML systems powering our company, from data and training to evaluation, inference, and deployment.
• Build and evolve training and fine-tuning pipelines for large models.
• Design evaluation systems that measure capability, robustness, safety, and real-world product performance.
• Architect high-performance inference systems, optimizing latency, GPU utilization, memory, cost, and reliability.
• Build data pipelines and systems for high-quality real-world and synthetic training data.
• Establish reliable production infrastructure for deploying, monitoring, and continuously improving models.
• Partner closely with research and application engineering to turn model capabilities into product improvements.
• Make pragmatic technical trade-offs and rapidly iterate based on real-world performance.

Skills

ML systems in production

Large-model training

Software engineering fundamentals

GPU-based workloads

Technical judgment

Experimentation

Production quality

Tools

Python

PyTorch

JAX

GPU-based systems

Job description

Bjak is seeking a Lead Engineer, Machine Learning to own the execution layer of our intelligent systems. You will turn research and model capabilities into reliable, scalable production systems across data, training, evaluation, inference, and deployment.

You will lead hands-on work spanning data pipelines, training loops, evaluation metrics, and high-performance inference. The role emphasizes pragmatic trade-offs, collaboration with researchers and engineers, and shipping robust ML solutions.