Top Machine Learning Jobs in Singapore

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

The intern will assist in improving wafer thickness detection through data analytics, machine learning, and process optimization. They will work on simulation and contribute to end-to-end solutions in semiconductor manufacturing.

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

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 CE PYE FA Engineer, you'll conduct fault isolation and failure analysis, collaborating with multiple teams and developing techniques to improve processes.

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.

The internship focuses on solving 3D NAND yield issues through training in electrical failure analysis and multivariate data analysis using Python, aimed at preparing for full-time data analysis roles.

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

Lead the development and optimization of transaction monitoring capabilities across payments, ensuring effective detection of suspicious activities while enhancing customer experience.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

The role requires driving strategic growth in the ASEAN region, developing client account strategies, and serving as a trusted advisor to senior stakeholders to enhance software development and modernization efforts.

Interns will develop an AI-driven root cause analysis tool to enhance workstation performance, focusing on data analytics and AI model simulation.

The role involves collaborating with data scientists, engineers, and stakeholders to implement AI-based solutions, track impacts, and identify cost opportunities in smart manufacturing.

The Senior Technical Consultant role involves consulting with customers on implementing ServiceNow solutions, driving adoption of AI technologies, leading design and build activities, and providing technical advice while ensuring customer satisfaction.

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.

Lead technical pre-sales initiatives by understanding client needs, designing solutions, and delivering product demonstrations while collaborating with internal teams.

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

As an intern, you will apply data analytics and machine learning to enhance process learning in NAND technology, communicating insights effectively and delivering a comprehensive project.

This internship focuses on photolithography equipment in semiconductor manufacturing, IoT integration, data analytics, and cross-functional engineering collaboration.

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.

As a Director of Data Science at Mastercard, you will lead financial crime modeling efforts, engaging with teams and stakeholders to ensure effective solutions that meet customer and regulatory needs. You will represent Mastercard at industry events and contribute to white papers, while collaborating with global teams to align methodologies.

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

Lead the introduction and ramp of High Bandwidth Memory products, ensuring product milestones are met through cross-functional team coordination, technical leadership, and effective decision-making.