Member of Technical Staff, Machine Learning

Alphasearch; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Alphasearch in Singapore seeks a Member of Technical Staff, Machine Learning to join the engineering team. You will work across full ML lifecycle, deploying, training, evaluating, and maintaining production-grade models.

You will collaborate with data engineers and product teams to build scalable AI components, optimize latency and cost, and ensure reliability in live environments.

Qualifications

• Strong foundations in machine learning and deep learning.
• Hands-on experience with Python and PyTorch or JAX.
• Ability to ship production-quality software.

Responsibilities

• Join the engineering team to manage the full ML lifecycle: data pipelines, training, fine-tuning, evaluation, inference, and deployment.
• Build and improve ML components used in production environments with a focus on scalability, latency, and reliability.
• Collaborate with data engineers and product teams to deliver AI-powered features across workflows.

Job description

Member of Technical Staff, Machine Learning

• Build production AI used at global scale
• Work directly on modern ML systems
• High ownership within a world-class team

The Company

Our client is a fast-growing technology company building AI-native applications designed to make everyday digital workflows more proactive, intelligent and intuitive. The business is focused on applying AI to real-world activities such as conversations, tasks, organization and personal workflows, with an emphasis on reliability, persistent context and practical task completion.

The Position

We are seeking a Member of Technical Staff, Machine Learning to join the engineering team in Singapore. The role will work across the full ML lifecycle, including data pipelines, model training, fine-tuning, evaluation, inference and production deployment.

You will build and improve ML components used in real production environments, fine-tune and adapt models, develop evaluation frameworks, work with real-world and synthetic datasets, and troubleshoot model and system performance. The position offers direct exposure to production constraints including latency, cost, reliability and safety, while working closely with experienced ML engineers and product teams.

The technology environment includes Python, PyTorch/JAX and GPU-based production ML systems.

The Person

You should have strong foundations in machine learning, deep learning and modern neural architectures, together with hands-on experience training, fine-tuning or deploying ML models. Experience working with Python and PyTorch or JAX is highly relevant, as is the ability to write production-quality software and work across data, training and inference systems.

We are particularly interested in engineers who enjoy building and shipping rather than working purely in research, are comfortable debugging complex ML problems and want to develop deeper production ML and systems expertise. You should be comfortable operating in a fast-moving environment, working through ambiguity and taking increasing ownership as you grow within the team.

Priority will be given to candidates who are currently based in Singapore.