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

Design and maintain a machine learning platform, ensuring high scalability and reliability, while implementing MLOps best practices and collaborating with various teams.

As a Product Engineer, you will identify and resolve process integration and yield issues in semiconductor manufacturing, support yield improvement projects, and collaborate 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.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Lead a team in defect analysis technology development, focusing on identifying issues and collaborating across teams to enhance inspection processes.

Lead the integration of 3D NAND technology, develop technology roadmaps, and drive innovative solutions through cross-functional collaboration and experimentation.

The Software Developer will design and implement low-latency trading systems, optimize algorithms, and assist in building tools for market data analysis.

As a Senior/Principal Machine Learning Engineer, you will develop ML models for self-driving vehicles, mentor others, and tackle complex technical challenges.

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.

The role involves developing generative AI products, mentoring junior engineers, and collaborating with teams to advance AI initiatives.

Collaborate with teams to develop and maintain scalable full-stack applications, focusing on backend services using Node.js and cloud technologies.

As a Full-stack Engineer, you will collaborate with teams, develop and maintain applications using Node.js and React, and implement AI/ML techniques.

The role involves designing and optimizing a machine learning platform, building data pipelines, and collaborating with teams for effective risk management.

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

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

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

Responsible for guiding High Bandwidth Memory (HBM) products through all phases of product development, facilitating cross-functional teams, and driving project execution while communicating development statuses.

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