Top Machine Learning Jobs in Singapore

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.

Lead a ~10-person analytics team for APAC, partnering with Product, Banking and Engineering to drive data-led product decisions, define KPIs, build measurement frameworks, coach analysts, and contribute to regional analytics strategy and planning.

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

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

Design and deploy advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams to apply statistical analysis and machine learning, maintain global control applications, develop training, and integrate AI-assisted tools to improve yield, quality, and efficiency.

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.

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.

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

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.

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

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

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

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

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 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.

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.

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

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.

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.

Serve as Product Owner for smart manufacturing AI initiatives to identify cost opportunities. Collaborate with data scientists, data engineers, and stakeholders to design, prioritize, implement, and measure AI/ML solutions that capture financial and operational value across procurement and front-end fabrication processes.

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

Participate in semiconductor technology research and development projects: perform experiments, data analysis, modelling/simulation, and device characterization; generate technical reports, recommendations, and present findings. Leverage AI/ML and advanced analytics where applicable and collaborate with engineers to support process integration and next-generation memory technology development.

Design, develop, and troubleshoot secure, high-quality production code; improve operational stability via automation; lead technical evaluations and communities of practice; use enterprise AI-assisted development tools responsibly; and apply SDLC, CI/CD, resiliency, and security best practices.

Conduct threat hunting, security research, and intelligence analysis; build AI-powered threat research systems; analyze large datasets; validate AI-assisted findings and advise cross-functional teams to improve security posture.