ML Engineer

Location: Remote, Singapore

Company

Builds proactive AI-native applications that bring intelligence to communication, coordination, errands, and workflows with minimal prompting.

What you will do

• Build and improve ML models for classification, ranking, retrieval, recommendation, and personalization.
• Optimize classifiers and model performance across accuracy, precision, latency, cost, and reliability.
• Improve search relevance and context retrieval using embeddings, vector search, hybrid search, and reranking.
• Develop evaluation pipelines, labeled datasets, and metrics to measure model quality and identify regressions.
• Build and maintain training, inference, and deployment pipelines, including model fine-tuning where appropriate.
• Debug production issues, monitor model performance, and ship improvements based on real-world feedback.

Requirements

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience building and deploying ML models in production.
• Experience with classification, ranking, retrieval, recommendation systems, or personalization.
• Proficiency in Python and experience with PyTorch or JAX.
• Understanding of model evaluation, experimentation, performance metrics, embeddings, vector search, and ranking models.
• Ability to write production-quality code and balance model quality, latency, cost, and reliability.

Culture & Benefits

• Work with a small, high-talent-density, hands-on team.
• Make decisions collectively and move quickly while maintaining high-quality work.
• Operate with structure, independent judgment, ownership, and continuous learning.
• Virtual and/or onsite interviews are conducted during the hiring process.
• The process includes 3, but no more than 4, interviews, followed by a prompt decision.