Top Machine Learning Jobs in Singapore

The Staff/Senior Engineer will focus on fault isolation and failure analysis for electrical devices, collaborating with teams to resolve defect issues and improve processes.

Internship to develop end-to-end analytics and ML solutions for semiconductor machine and inspection data: data extraction, preprocessing, modeling, drift detection, visualization, and documentation to detect early quality variation signals.

Develop and deploy product-disposition workflows and deviation alert systems using statistical tools and ML/AI to improve yield, reliability, and quality. Build algorithms for data mining, pattern recognition, and wafer/die screening. Collaborate with Fab, design, and quality teams, mentor team members, and drive technical innovation to meet KPIs like quality, cost, cycle time, and scale.

Lead planning, deployment, optimization, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Configure/tune models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, deliver AI workshops, and collaborate on customer-facing AI collateral. Travel up to 25% required.

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 strategy, roadmap, and delivery for real-time fraud detection and client-facing risk products. Hire and grow engineering teams, own architecture and system reliability, drive cross-team collaboration, operational excellence, and product outcomes to reduce fraud and chargebacks at global scale.

Design and implement transaction- and merchant-level risk and fraud detection solutions. Develop risk detection frameworks and controls, build and deploy models, analyze performance, monitor and optimize solutions, and partner with platform, operations and external vendors to deliver end-to-end risk capabilities and present strategies to senior management.

Lead end-to-end finance transformation by defining roadmap, architecting finance systems (ERP, AI, workflow), redesigning processes (P2P, O2C, R2R, FP&A), driving change management, building business cases, and measuring outcomes to scale global, IPO-ready finance operations.

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.

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

As a Senior AML Analyst, you will investigate and analyze potential fraudulent activities, file SARs, collaborate with teams, and ensure compliance with AML regulations. You will also train other analysts and improve detection models.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

The Senior Engineer will enhance production efficiency, manage semiconductor equipment processes, and lead improvements in memory product development through engineering methods and collaboration.

Engineers at Citadel work in small teams to develop high-performing technology under quick cycles. They focus on creating tools for trading strategies and data research platforms.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

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.

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.

Intern analyzes die attach process and equipment data to identify trends and variability, apply statistical or ML/AI methods for anomaly detection and optimization, build dashboards/KPIs, and present recommendations while collaborating with engineering teams.

Lead and grow a team of CMP and BTG engineers to develop and transfer CMP/BTG process modules for 3D NAND. Drive process characterization, DOE-based optimization, process margin and manufacturability improvements, supplier partnerships, pilot ramp/yield support, and adoption of data analytics/AI for predictive modeling and process control.

As a Customer Success Engineer, you will manage enterprise customer relationships, provide technical expertise, and drive integration and adoption of Deepgram's voice AI solutions, ensuring customer success and identifying growth opportunities.

The Principal Business Intelligence Analyst at Micron drives AI transformation in Smart Manufacturing by leading projects and collaborating across functions to improve manufacturing performance and data utilization using innovative AI solutions.

The internship involves hands-on learning in data analytics and machine learning. Interns will build data-driven models, perform statistical analyses, and communicate insights to improve process integration outcomes in semiconductor technology.