Senior Personalization & Recommendation Engineer

Stealth Web3 Startup; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Stealth Web3 Startup seeks an experienced ML Engineer to build end-to-end personalized recommendation systems for prediction markets, covering home feeds, trending events, and market data insights. You will craft user profiles, design the full pipeline from retrieval to ranking, and optimize for engagement, retention, and trading actions.

Importantly, you will drive data-driven iterations, evaluate experiments, and implement robust monitoring to balance accuracy with content diversity and user

Qualifications

• 5+ years of hands-on experience in production search or recommendation systems.
• Experience with content feeds, news, trending events, financial market data, or community recommendation systems is preferred.
• Strong understanding of the complete recommendation system architecture, including retrieval, ranking, re-ranking, multi-objective optimization, and cold-start strategies.
• Proficient in PyTorch or TensorFlow, with ability to independently conduct feature engineering, model training, offline evaluation, online tuning, and iterative experimentation.
• Experience with user behavior sequence modeling and handling sparse data.

Responsibilities

• Build and optimize the end-to-end personalized recommendation system for a prediction market platform.
• Develop multidimensional user profiles based on browsing, clicks, follows, trades, dwell time, and search behaviors to model user interests and activity levels.
• Design and optimize the full recommendation pipeline, including cold start, candidate retrieval, ranking, diversity, and real-time relevance.
• Build a scalable feature engineering framework from mining user behavior sequences.
• Continuously improve recommendation models through data-driven iterations and establish robust evaluation and monitoring mechanisms.

Skills

Recommendation systems

Deep learning

A/B testing

Vector retrieval

User profiling

Education

Bachelor's degree or above

Tools

PyTorch

TensorFlow

Job description

Stealth Web3 Startup seeks an experienced ML Engineer to build end-to-end personalized recommendation systems for prediction markets, covering home feeds, trending events, and market data insights. You will craft user profiles, design the full pipeline from retrieval to ranking, and optimize for engagement, retention, and trading actions.

Importantly, you will drive data-driven iterations, evaluate experiments, and implement robust monitoring to balance accuracy with content diversity and user