Algorithm Engineer

PIVOT SEARCH PTE. LTD.; Singapore; Presencial; SGD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Pivot Search Pte. Ltd. seeks a skilled algorithm/ML engineer to develop and iterate core transaction-matching and marketing algorithms, delivering submodules from data processing to deployment. Your work will directly influence user experience, engagement and business outcomes.

You will apply ML techniques, collaborate with senior engineers, and translate business needs into practical model improvements, with at least 1 year of relevant ML experience and strong programming foundations.

Formación

• Fully bilingual in English and Mandarin with professional Chinese communication.
• Bachelor's degree or above in Computer Science or related discipline.
• Strong communication, learning agility, cross-team collaboration and execution.
• Comfortable working onsite near Orchard Road, Singapore.
• At least 1 year of relevant algorithm or machine-learning experience; experience in recommendation, search or advertising preferred.
• Sound understanding of machine-learning principles and proficiency with mainstream ML frameworks.
• Strong programming fundamentals, data collection and analysis skills, pattern recognition abilities.
• Ability to translate business and product requirements into practical model improvements.

Responsabilidades

• Develop and iterate the company's core transaction-matching and marketing algorithms, driving continuous improvement across key business metrics.
• Apply algorithms to improve user experience and overall business outcomes.
• Independently deliver model-development submodules, including data processing, feature extraction, model training, deployment and monitoring.
• Use data to identify gaps in models, mechanisms and strategies; propose improvements and drive them into production.
• Work with senior technical colleagues to develop algorithmic improvements and innovations suited to the business.

Conocimientos

Bilingual English/Mandarin

Algorithm development

Data processing

Model training

Deployment & monitoring

Strong programming fundamentals

Educación

Bachelors in Computer Science

Herramientas

TensorFlow

PyTorch

Scikit-learn

Descripción del empleo

ABOUT THE COMPANY

Our client is a digital freight platform that uses mobile internet, big data and artificial intelligence to help shippers and truck drivers match more efficiently and support the digitalisation of the logistics industry. Its platform serves more than 300 cities and over 100,000 routes.

WHAT YOU'LL DO

• Develop and iterate the company's core transaction-matching and marketing algorithms, driving continuous improvement across key business metrics.
• Apply algorithms to improve user experience and overall business outcomes.
• Independently deliver model-development submodules, including data processing, feature extraction, model training, deployment and monitoring.
• Use data to identify gaps in models, mechanisms and strategies; propose improvements and drive them into production.
• Work with senior technical colleagues to develop algorithmic improvements and innovations suited to the business.

REQUIREMENTS

Must Have

• Fully bilingual in English and Mandarin, with the ability to communicate fluently in Chinese in a professional environment.
• Bachelor's degree or above in Computer Science or a related discipline.
• Strong communication, learning agility, cross-team collaboration and execution.
• Comfortable working onsite near Orchard Road, Singapore.
• At least 1 year of relevant algorithm or machine-learning experience; experience in recommendation, search or advertising is strongly preferred.
• Sound understanding of machine-learning principles and proficiency with mainstream machine-learning and deep-learning frameworks.
• Strong programming fundamentals, logical thinking, data collection and analysis skills, and sensitivity to patterns in data.
• Passion for algorithms, strong problem-solving ability, self-motivation and a high quality bar.
• Ability to understand business and product requirements and translate them into practical model improvements.

Good to Have

• Hands-on experience in causal inference, time-series forecasting, spatiotemporal data mining,
• multi-task learning, online learning, reinforcement learning or operations research optimisation.
• Experience deploying, monitoring and improving production machine-learning systems.