Top Machine Learning Jobs in Singapore

As a Software Engineer Intern at Citadel, you will develop technological tools for trading strategies, research platforms, and work in teams on finance technology.

As a Software Engineer II in Client Risk, design and build AI-driven risk monitoring systems, automate processes, and collaborate with cross-functional teams to enhance risk management.

As a Senior Software Engineer on the risk team, you will design and implement scalable risk data warehouses, optimize ETL pipelines, and partner with ML engineers to enhance risk data management.

As a Software Engineer, you'll develop high-performance technology tools for trading strategies, and work with high data research platforms in a collaborative team.

The Systems Engineer will apply engineering principles and AI tools to improve medical devices through systems engineering across their lifecycle, ensuring regulatory and technical compliance and enhancing operational processes.

Design, build, and optimize the machine learning platform. Responsibilities include managing data pipelines, model deployment, and collaboration with data science teams to ensure effective risk management practices.

Design, build, and optimize a machine learning platform focusing on data pipelines, model serving infrastructure, and MLOps best practices while collaborating with cross-functional teams.

Lead the development of AI-powered hardware cybersecurity solutions, manage a team, and ensure project delivery and innovation in security technologies.

As a Robotics and Automation Specialist, you will assess, design, and integrate robotic solutions in a manufacturing environment, focusing on AI-enhanced automation. You'll collaborate with stakeholders, manage projects, and develop maintenance practices.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The role involves designing and maintaining scalable workflows for root cause analysis, collaborating with teams to resolve issues affecting machine learning model performance, and guiding junior engineers in project execution.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

As an Intern - Product Development Engineer, you will optimize NAND component test flows, develop analytical tools and models, perform data analysis, and enhance manufacturing processes.

Lead the modernization of logistics operations through automation and digital transformation by integrating advanced systems and optimizing workflows for increased efficiency.

Lead strategic AI-driven software development initiatives, manage a large multinational engineering team, and drive innovation in software engineering.

The Senior Business Intelligence Analyst will gather and analyze data for improving wafer output performance, lead projects, and integrate AI solutions.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

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

Lead the integration of cutting-edge 3D NAND technology, driving strategic technology roadmap and addressing critical technology gaps through innovative solutions.

As a Principal Engineer, you will lead process development, improvement, and train young talent, focusing on yield improvement and process formulations while collaborating with cross-functional teams.

As a Process Integration Engineer, you will develop, optimize, and integrate semiconductor processes, troubleshoot issues, and manage new product introductions to improve yield and quality.

Lead a team to enhance yield and quality in semiconductor manufacturing through advanced data analysis, machine learning, and AI. Develop algorithms, mentor team members, and foster cross-functional collaboration for innovative solutions.

The AI Solutions Architect will drive AI solution adoption among public sector clients, guide implementation, and ensure customer success while collaborating with sales and engineering teams.

The Research Engineer will develop models and prototypes in AI, ML, and optimization, assist in product analysis and specification writing.

Develop advanced FPGA solutions for high-speed camera systems in wafer inspection. Responsibilities include design, verification, debugging, and collaboration with R&D teams.