Member of Technical Staff, Machine Learning (AI)

TL;DR

Member of Technical Staff, Machine Learning (AI): Building core ML components for a proactive AI chat app that handles multi-step reasoning, external tools, and reliable long-running workflows with an accent on data pipelines, training, evaluation, and inference. Focus on fine-tuning models, debugging production issues, implementing evaluations, and shipping improvements under real constraints like latency, cost, and reliability.

Location: Remote from Singapore

Company

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising, and workflows.

What you will do

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models within larger production systems.
• Implement evaluation and testing frameworks to understand model behavior.
• Build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship iterative improvements based on real user feedback and collaborate with senior engineers and product teams.

Requirements

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.
• Curious, coachable, with bias toward shipping, iteration, and continuous improvement.
• Able to work through ambiguity and grow ownership over time.

Culture & Benefits

• Work in a small, high-talent-density, hands-on team that makes collective decisions at rapid speed.
• Balance between shipping high-quality work and learning.
• Focus on structure, judgment, and independent execution.
• Goal to deliver a truly magical AI product with practical benefits to billions globally.

Hiring process

• Applications evaluated by technical team members.
• 3-4 interviews via virtual meetings and/or onsite.
• Prompt decisions with offers for exceptional fits.