Top Machine Learning Jobs in Singapore

Lead the integration of NAND technology, develop strategic roadmaps, drive innovations, solve complex engineering problems, and collaborate with a global team.

The Staff Machine Learning Engineer will develop content recommendation systems, analyze playback data, and collaborate with teams to enhance user experience, requiring extensive ML product experience and model deployment skills.

Lead the design and implementation of an MLOps platform focusing on generative AI solutions. Manage a team of machine learning engineers, optimize performance, and ensure scalable, efficient systems for AI-driven products.

As a Machine Learning Engineer, you will develop and deploy AI/ML models, work with complex data, and support project objectives within the Digital Manufacturing Group.

Lead the development and deployment of AI/ML models, mentor junior engineers, optimize data pipelines, and define project objectives in digital manufacturing.

The Applied AI Engineer will onboard customers, manage technical collaborations, deploy LLM applications, and improve product capabilities based on feedback.

As a Senior Machine Learning Engineer - Search, you'll design and deploy advanced search and recommendation models, focusing on user intent and enhancing the GoFood and GoPay platforms.

The role involves developing and implementing quantitative models for trading strategies, collaborating with teams to meet client needs, and providing expertise on quantitative methodologies in investment banking.

Lead the development of machine learning models and systems, focusing on innovative architecture, training pipelines, and scalable deployment for a new AI application.

This role involves designing, building, and deploying core components of ML infrastructure, ensuring high scalability and reliability in handling data for autonomous vehicles.

Design and implement advanced algorithms for search and recommendations, collaborate with data science teams, and innovate using LLMs and LLVMs.

As a Machine Learning Engineer, you'll design, develop, and deploy AI solutions to solve business problems, collaborating with teams to enhance model performance.

The AI/ML Research Engineer will fine-tune models, design datasets and training pipelines, and collaborate on product development to create impactful AI applications.

As a Machine Learning Engineer, fine-tune models, shape data pipelines, evaluate performance, and launch AI features in a pioneering consumer AI application.

Jump Trading is seeking an intern to apply machine learning in quantitative research. The candidate will implement projects from concept to production, collaborating with trading teams to improve model design and tools.

Intern will develop and optimize AI models for image extraction, perform feature extraction on datasets, and collaborate with research engineers on proof of concepts.

The role involves analyzing and implementing IT systems with an emphasis on AI/ML projects, coordinating with vendors, managing testing, and supporting infrastructure changes.

Lead the design and optimization of AI model inference systems, guiding teams and collaborating with cross-functional groups to improve performance, cost efficiency, and scalability.

Design and implement large-scale simulation platforms utilizing machine learning and advanced modeling to enhance marketplace efficiency and driver opportunities at Grab.

The AI/ML Engineer will design, develop, and deploy machine learning models, collaborate with teams, and optimize algorithms while ensuring code quality.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.