Machine learning Engineers - Lead and Member of Technical Staff

Machine Learning Engineering Opportunities – Singapore (remote)

• Build production ML systems at scale
• Shape training, evaluation and inference architecture
• Join a hands-on, high-caliber AI team

The Company

Our client is an AI technology company developing AI-native applications designed to make everyday activities, communication, organization, task management and workflows more intelligent and proactive. The team is building products that operate with minimal prompting while maintaining persistent context, reliable long-running workflows and real-world task completion.

The engineering environment is highly hands-on and operates at the intersection of machine learning research, systems engineering and product development, with a strong emphasis on practical execution, measurable performance and production reliability.

The Positions

• Member of Technical Staff, Machine Learning - This role is suited to a hands-on ML Engineer who wants to build and improve core machine learning components across data, model training, fine-tuning, evaluation and inference. You will work directly on production systems, help develop pipelines using both real-world and synthetic data, evaluate model behavior, troubleshoot performance issues and continuously improve models based on real user signals. The position offers exposure to large-scale production ML environments where engineers work within practical constraints including latency, cost, reliability and safety.

• Lead Engineer, Machine Learning - The Lead Engineer will take broader ownership of the end-to-end ML execution layer, translating research and model capabilities into scalable production systems. You will own ML systems spanning data preparation, large-model training and fine-tuning, evaluation, inference, deployment and continuous improvement. The role will architect high-performance inference systems with particular attention to GPU utilization, latency, memory, cost and reliability, while establishing production infrastructure for model deployment and monitoring. As a hands-on technical leader, you will also provide technical direction, review architecture and design decisions, mentor engineers and help raise engineering standards across the team.

The Person

We are looking for strong Machine Learning Engineers with experience building and shipping real production ML systems rather than purely research prototypes. You should have solid foundations in machine learning and modern neural architectures, strong Python development skills and practical experience with PyTorch and/or JAX.

Relevant experience will include model training and fine-tuning, evaluation frameworks, data pipelines, production inference, model deployment and troubleshooting. Exposure to GPU-based training or inference environments, performance optimization, model reliability and production monitoring will be highly relevant.

For the Member of Technical Staff level, candidates should demonstrate strong hands-on ML foundations, curiosity, good engineering practices and the ability to grow ownership within production systems.

For the Lead Engineer level, we are looking for deeper production experience, strong systems judgment and the ability to independently own architecture, technical decisions and engineering direction.

Priority will be given to candidates currently based in Singapore.

For further exciting opportunities, follow us on LinkedIn Alphasearch or visit www.alphasearch.com