Top Machine Learning Jobs in Singapore

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.

The Business Intelligence Analyst will translate business needs into actionable requirements, collaborate on image analytics, and support project coordination within semiconductor manufacturing.

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

As a Process Control Engineer, you will enhance manufacturing efficiency by developing advanced control solutions, integrating AI/ML, and collaborating across teams.

The role involves developing advanced thin film deposition processes, conducting experiments for process improvement, collaborating with teams, and mentoring junior engineers.

Lead the development and production of High Bandwidth Memory products, coordinating across teams for successful implementation and risk mitigation.

As a Principal Engineer, you will lead a team in defect detection and process improvement in the semiconductor industry, collaborating with various departments to drive innovation and mentor team members.

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

Develop and deploy product-disposition solutions using data analysis, machine learning, and AI to improve yields and reliability. Mentor team members and collaborate across functions to drive innovation and enhance product quality.

The role involves leading initiatives for yield improvement in DRAM/NAND/HBM technologies, collaborating across teams, and utilizing data analytic tools. Requires strong technical leadership and decision-making skills.

The Senior Business Intelligence Analyst will improve wafer performance through data analysis, machine learning, and global project management in Micron's Smart Manufacturing initiatives.

Design and deploy software and data-analytics solutions for Probe operations: real-time reporting, monitoring, automation of material tracking and validation, and AI-assisted efficiency improvements. Collaborate globally to identify process improvements and implement software and process changes to reduce resolution turnaround and ensure product quality.

Design, develop, deploy, and maintain automation software for factory operations including autonomous material delivery, scheduling, and equipment automation. Collaborate with manufacturing and global automation teams, own end-to-end solution lifecycle, troubleshoot production systems, use data analysis and visualization, and integrate AI-assisted tools to drive continuous improvement and operational efficiency.

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.

Design and implement advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams, apply statistical analysis and machine learning to improve yields, maintain global control applications, and deliver training while promoting continuous improvement and responsible use of AI tools.

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.

As a Process Control System Engineer, you'll improve manufacturing processes, analyze data, and develop smart control solutions in semiconductor production.

The CE PYE FA Engineer conducts fault isolation and failure analysis, collaborates with engineering teams, and develops innovative techniques to improve defect resolution.

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 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.

The role involves electrical failure analysis, fault isolation, collaboration with product engineering, and process improvement strategies.