Algorithm Engineer

NEXadept; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

NEXadept is seeking an Algorithm Engineer in Singapore to lead core matching and marketing algorithms. You will design, implement and refine engines affecting transaction efficiency and user experience, from data pipelines to model deployment and real-time monitoring.

The role requires 3+ years in recommender systems, search or advertising, and strong ML knowledge across classic and modern models. A collaborative, business-minded engineer will thrive in this fast-moving environment.

Qualifications

• Bachelor's degree or higher in Computer Science or a related discipline.
• Hands-on experience in Recommendation Systems, Search or Advertising (3+ years).
• Strong understanding of ML concepts and practical frame- work proficiency.

Responsibilities

• Design, build and iterate core matching transaction algorithms and marketing algorithms.
• Enhance user experience and maximize business outcomes through data-driven improvements.
• Own model R&D sub-modules across data pipelines, feature engineering, training, deployment and monitoring.
• Identify bottlenecks through data analysis and propose actionable improvements.
• Collaborate with senior technical leaders to drive algorithmic innovations.

Skills

Recommendation Systems

Search

Advertising

Education

Bachelor's degree in Computer Science

Job description

We are partnering with leading digital transportation marketplace expanding in SEA. Our client is seeking a talented and driven Algorithm Engineer to spearhead core matching transaction and marketing algorithm architectures.

In this role, you will design and iterate algorithmic engines that directly influence transaction efficiency, marketing performance, and overall user experience.

Key Responsibilities

• Core Algorithm Development: Design, build, and iterate core matching transaction algorithms and marketing algorithms, driving measurable, continuous improvements across critical scenario metrics.
• Business & User Impact: Leverage advanced algorithmic capabilities to elevate user experience and maximize business outcomes.
• End-to-End Model Engineering: Independently manage model R&D sub-modules across the full lifecycle, including data pipeline processing, feature engineering, model training, deployment, and real-time monitoring.
• Data-Driven Strategy: Detect bottlenecks and gaps in existing models and mechanism strategies through data analysis, formulating actionable improvement proposals and driving their implementation.
• Technical Innovation: Partner with senior technical leaders to pioneer algorithmic improvements and technological innovations tailored to real-world business dynamics.

Qualifications & Requirements

• Education & Experience: Bachelor's degree or higher in Computer Science or a related discipline, with 3+ years of hands-on experience in Recommendation Systems, Search, or Advertising.
• ML Expertise: Deep understanding of machine learning principles. Extensive practical experience in causal inference, time-series forecasting, spatio-temporal data mining, multi-task learning, online learning, reinforcement learning, or operations research and optimization is strongly preferred.
• Technical Stack: Solid coding foundations with proven proficiency in mainstream machine learning and deep learning frameworks.
• Analytical Mindset: High data sensitivity, sharp intuition for data collection and analysis, and rigorous logical problem-solving abilities.
• Soft Skills & Execution: Strong cross-team collaboration, clear communication, a business- and product-oriented mindset, and the resilience to execute under pressure in a fast-paced setting.