Top Machine Learning Jobs in Singapore

Lead FP&A partnership with global commercial teams, own budgeting/forecasting, build GTM KPI/reporting, analyze profitability and unit economics, drive AI-enabled FP&A automation, and mentor junior staff to improve processes and decision-making.

The role focuses on designing, developing, and maintaining automation solutions for factory operations, improving productivity and system efficiency through collaboration with teams and data analysis.

The role involves managing and improving cycle time processes in semiconductor manufacturing by utilizing advanced analytics, facilitating training, and leading cross-functional projects to achieve operational excellence.

As a Data Science Engineer, you will analyze large datasets, develop predictive models, and work collaboratively to enhance data tools and processes.

Responsible for pre-silicon simulation, silicon validation, and TCV development for NAND products, providing technical leadership and driving cross-functional collaboration.

Conduct ML/AI research to extract patterns from diverse datasets (including unstructured data), implement algorithms in high-quality code, back-test models, and document findings for quantitative trading applications.

PhD internship conducting research applying statistics, machine learning and AI (e.g., deep learning, NLP) to market data. Implement and test algorithms in production-quality code, work with large and unstructured datasets, back-test models, and document findings while collaborating with senior researchers.

Lead and grow a team of diffusion and implant engineers to develop and transfer 3D NAND process modules. Drive process characterization, DOE-driven optimization, process monitoring/control, manufacturability, supplier partnerships, and adoption of data analytics/AI to improve yield, cost, and scalability while supporting pilot ramps and high-volume manufacturing.

Lead product ownership for smart manufacturing AI solutions in semiconductor manufacturing. Define requirements, partner with data scientists and engineers, prototype AI/big-data solutions, drive ROI, manage Jira/Confluence, ensure enterprise-grade standards, and measure production outcomes to improve yield, quality, and test performance.

Summer intern role building high-performance, large-data research platforms and web frameworks. Collaborate in small teams to create tools for trading strategies, applying distributed computing, NLP, and machine learning.

As a Software Engineer Intern, you'll develop high-performance platforms and technological tools for trading strategies while collaborating with senior team members at Citadel Securities.

Conduct ML research (deep learning, NLP) on large and unstructured financial datasets, implement algorithms in high-quality code, back-test models, document findings, and collaborate with senior researchers during an 11-week summer internship in Hong Kong or Singapore.

The Engineer CE PYE will perform fault isolation, electrical device characterization, and physical failure analysis, collaborating with product teams to improve defectivity and operational efficiency.

The CE PYE FA Engineer will provide fault isolation and failure analysis support, collaborate on defect resolution, and innovate analysis techniques.

The Senior Product Owner will lead smart manufacturing solutions and apply AI and machine learning in Micron's processes, requiring semiconductor experience.

As a CE PYE FA Engineer, you will perform fault isolation and failure analysis, collaborate with teams, and develop new techniques to enhance operational efficiency.

The role involves fault isolation and failure analysis support, operating equipment for electrical defect localization, collaborating with teams for defect resolution, and leading a team of technicians.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

The Senior Manager, Strategy Lead (Quality Systems) leads AI-driven business transformation initiatives in manufacturing, partnering with stakeholders to drive solutions and optimize processes.

Lead product strategy for real-time and post-transaction monitoring across payments. Own rules, alerting, workflows, investigator tooling, client-specific controls, and AI-driven detection, partnering with Risk, Compliance, Data, and Engineering to reduce fraud while preserving customer experience and operational efficiency.

Design, build, and operate core transaction risk microservices in Kotlin/Java. Deliver high-concurrency, highly available distributed systems, improve observability, evaluate graph/streaming/ML/LLM technologies, mentor engineers, and participate in on-call incident response to detect and prevent fraud at scale.

Lead product strategy and execution for real-time and post-transaction monitoring across payments. Own rule design, alert optimisation, investigator tooling, client-specific controls, and scalable detection infrastructure. Partner with Risk, Compliance, Operations, Data, and Engineering to reduce fraud, leverage AI/analytics, automate workflows, and ensure AML/regulatory alignment while preserving customer experience.

Lead product strategy for real-time and post-transaction payment monitoring. Own rule design, alert optimisation, investigator tooling, client-specific controls, and AI-driven detection improvements while partnering with Risk, Compliance, Data, Operations, and Engineering to reduce fraud and operational overhead and ensure regulatory alignment.

Conduct quantitative research and statistical analysis on crypto markets to develop, backtest, and implement automated trading strategies. Work with large and unconventional data sets to build valuation models, refine algorithms, and deploy signals in live trading to drive P&L growth.

The Director of Financial Planning & Analysis will lead the APJ financial strategy, partner with sales leadership, manage forecasting, and leverage AI for financial insights.