Top Machine Learning Jobs in Singapore

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

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.

The AI and ML Solution Architect designs and implements AI/ML solutions, collaborates with teams, and improves product performance through advanced algorithms.

As a Research Scientist, you will lead innovative AI research, design experiments, publish findings, and collaborate on integration into products.

Intern will develop an AI-driven tool for root cause analysis, automating diagnosis of issues in semiconductor operations by analyzing incident data and performance patterns.

Lead and develop a high-performing team to drive Package and HBM Product engineering activities. Collaborate across functions to improve quality, cost, and yield for HBM products. Responsibilities include yield improvement, debugging packaging issues, process conversion, and team mentorship.

Lead a team to enhance product yield and quality through advanced data analytics, machine learning, and AI. Develop algorithms and collaborate cross-functionally to drive improvements and innovation in HBM product engineering.

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

Develop and deploy product disposition solutions, advance data analysis using AI/ML, mentor team members, and collaborate cross-functionally to enhance product quality and yield.

As a Principal Engineer, you'll lead CMP process development, optimization, and sustainability, while collaborating with teams to enhance performance and drive innovation in semiconductor fabrication.

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.

Lead design, development, and production deployment of advanced ML models. Build scalable ML pipelines, preprocess and analyze large datasets, monitor model performance, and collaborate with cross-functional teams to integrate ML into products.

Design, develop, and deploy scalable machine learning models and pipelines. Preprocess and analyze large datasets, monitor model performance in production, and collaborate with data scientists, engineers, and product teams to integrate ML solutions into products.

Conduct research on machine learning for behavior prediction and planning, collaborate on deploying results in autonomous vehicles, and publish findings.

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 building advanced knowledge extraction engines for Materials Science, developing data extraction pipelines, and optimizing RAG architectures for scientific documents.

The Machine Learning Ops Engineer will bridge Data Science, AI Engineering, and Production Infrastructure by architecting solutions for MLOps lifecycle, managing AI tech stack, and optimizing costs.

As a Machine Learning Engineer Intern, you'll develop data pipelines, explore manufacturing problems using AI/ML, and collaborate on data-driven solutions.

The Senior Software Engineer will own the CDE platform, architect AI agents for ML workflows, and collaborate with ML Engineers to enhance productivity.

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.

The Senior Software Engineer will design and build an AI/ML platform, optimize performance for deep learning, and lead engineering initiatives.

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

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.

Develop AI and ML solutions to improve semiconductor workflows, train Citizen Data Scientists, and collaborate on data-driven insights and automation.