Top Machine Learning Jobs in Singapore

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.

Develop and deploy AI/ML and analytics solutions for Facilities Mechanical systems (HVAC, chillers, boilers, CDA, cleanroom air). Build predictive maintenance models, dashboards, digital twins, and automation to improve reliability, energy efficiency, and operational decision-making. Collaborate with controls, IT, and operations to integrate SCADA/BMS/PLC data, ensure data quality and governance, and drive digitalization of maintenance workflows while supporting change management in a 24/7 fab environment.

Lead the HBM Package Product Engineering team, focusing on yield improvement, cross-functional collaboration, innovation, and mentorship, while managing project execution and technical decision-making.

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.

Lead development of advanced dry etch processes for NAND technology, inventing plasma chemistries and equipment capabilities. Use AI/ML, analytics, and automation to accelerate process pathfinding, collaborate with integration and device teams, and drive manufacturability and yield improvements across semiconductor process domains.

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.

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.

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.

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.

As a Machine Learning Engineer, you'll architect large-scale training jobs, design AI solutions, optimize GPU performance, and develop data pipelines.

The role involves designing and executing AI solutions using machine learning in manufacturing, optimizing data pipelines, and collaborating with data teams.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

As a CE PYE FA Engineer, you'll conduct failure analysis, isolate faults, and collaborate across engineering teams to enhance device reliability.

This internship involves assisting in machine learning development, AI automation, data engineering, and exploring innovative projects to enhance test efficiency and engineering productivity.

This role involves leading NAND technology integration, solving technology gaps, designing experiments, and driving technical innovation in memory solutions.

Develop an end-to-end data pipeline and structured knowledge framework for SSD test equipment, apply data analytics and AI techniques to extract insights, build interactive dashboards, identify recurring issues and improvement opportunities, and document methodologies while validating results with engineering use cases.

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 design, implementation, and operations of incentive compensation across CRO organization. Build compensation frameworks, model scenarios, run monthly commission processes, partner with Finance/People/Legal, leverage AI and compensation platforms, and measure plan effectiveness to drive revenue and sales behaviors.

Develop modeling, analytics, and web-based solutions to improve manufacturing efficiency and scheduling. Communicate methods and results, manage project tasks, collaborate across teams, and apply AI/ML and optimization techniques to manufacturing constraints.

Conduct ML research (deep learning, NLP, statistics) on large and unstructured datasets, implement algorithms in production-quality code, back-test models, and document findings to inform trading strategies.

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 role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.

Lead Package and HBM Product Engineering, improve yields, resolve packaging issues, mentor team members, and collaborate across functions for product improvement.