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.

The Lead Software Engineer will enhance and deliver technology products, execute software solutions, develop production code, and lead evaluations of architectural designs.

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.

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

The role involves developing applications using data analytics and machine learning, managing projects, and collaborating with stakeholders. Candidates should have programming skills in Python and SQL, and knowledge in data analytics.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

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.

As a Robotics Autonomy Software Engineer, you will develop algorithms, mentor juniors, and integrate robotics software while ensuring mission-critical safety for underwater inspections.

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

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

Monitor and sustain process quality, review SPC charts, set up recipes, manage production job files, and ensure safety practices in fab operations.

The role involves supporting production schedules, leading continuous improvement projects, sustaining production lines, and developing new processes in semiconductor manufacturing.

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

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.

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.

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.

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

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

Lead the development of innovative hardware cybersecurity AI solutions, managing cross-functional teams, and overseeing project lifecycle with a focus on risk management and customer needs.

The role involves transforming MRO operations through technology, leading projects, collaborating with teams, ensuring safety, and implementing procedures across regions.