Top Machine Learning Jobs in Singapore

The Senior Product Engineer will perform in-depth data analysis, drive cross-functional collaboration for product reliability, and develop advanced algorithms for improving quality and yield. Responsibilities include data mining, problem analysis, and creating methodologies for defectivity reduction and reliability assessment.

The Research Engineer will conduct research on physics-based modeling of ionospheric plasma dynamics to enhance GNSS-based positioning systems. This involves simulations and modeling to understand electromagnetic phenomena affecting signal propagation and refraction, incorporating both classical physics and advanced machine learning techniques to develop predictive models for GNSS integrity.

The Research Engineer will investigate the physics of ionospheric dynamics affecting GNSS signals for navigation systems. Responsibilities include conducting research on modeling and simulations to understand signal propagation issues and developing a predictive model for ionospheric anomalies using both classical and machine learning techniques.

The AI Scientist/Engineer will focus on developing and implementing natural language processing techniques and large language models. Responsibilities include creating AIGC strategies for SEO, fine-tuning LLMs, developing chatbots, and applying prompt engineering methods to optimize model outputs. Candidates should have significant experience in NLP and technology-related roles.

The Research Scientist will conduct cutting-edge research in AI, focusing on generative AI, NLP, and deep learning technologies. Responsibilities include setting ambitious research goals, developing solutions for large-scale problems, and potentially leading project teams. Collaboration within the research community and contributions to academic conferences are also key aspects of the role.

As a Process Engineering SGP Engineer, you will support production ramp schedules, lead continuous improvement projects, and enhance process performance using advanced analytics. Collaboration with cross-functional teams to develop and improve new processes, as well as providing training and guidance to junior engineers, are key responsibilities of this role.

The Staff Software Engineer will lead the development of AI-powered bots for improving the pre-booking customer experience. Responsibilities include working with product managers and designers to innovate conversational solutions, optimize performance, and enhance collaboration across teams in a full-stack capacity.

As an SGP Engineer in Process Engineering at GlobalFoundries, you will analyze SPC charts and data to improve equipment performance and availability. Your responsibilities include conducting process window studies, monitoring critical SPC charts, and collaborating with Equipment Engineers on new technologies and equipment acceptance.

As a Product Engineer in the Advanced Data Analytics team, you'll lead initiatives to improve yield and quality through AI and machine learning. Responsibilities include developing algorithms, disposition solutions, a deviation alert system, and enhancing data infrastructure while mentoring team members and collaborating across teams.

The Semiconductor Process Engineering Lead will manage a team to enhance defect analysis technology and improve semiconductor processes. Responsibilities include project management, process anomaly identification, development of inspection technology roadmaps, and implementing continuous improvement practices. This role also emphasizes collaboration with various departments and effective communication of program health metrics.

Lead and develop high-performing teams focused on improving yields and quality in HBM product engineering. Collaborate across functions to drive impactful initiatives, mentor team members, and advocate for innovative technological solutions including AI/ML. Make critical decisions impacting project direction and mentor future technical leaders to enhance skills within the organization.

Lead and develop a high-performing team to drive Package PE activities within the HBM Systems and Product Engineering Team. Collaborate across functions to improve yield and quality, mentor team members, and promote innovation. Utilize statistical tools and machine learning for data analysis and yield improvement.

The Planning Digital Twin Manager at Micron Technology will lead innovations in smart manufacturing and supply chain operations. Responsibilities include developing smart manufacturing applications, utilizing data science and AI for planning optimization, integrating cross-department solutions, and evaluating vendor software. The role requires strong analytical, organizational, and communication skills to drive project collaboration and foster stakeholder relationships.

Assist in designing and coding an AI platform for training and online services, as well as integrating AI capabilities into gaming through machine learning operations processes.

The role involves domain data extraction from multimodal data, building semantic search systems, and implementing LLM-related technologies. The candidate will read research papers, design experiments, and improve existing systems independently, aligning large models with business applications.

The Senior Data Consultant leads teams to deliver data-driven projects for clients, formulating strategies and action plans, managing project delivery, and building customer relationships. They are problem solvers and project managers, skilled in adapting to diverse missions and leveraging data to drive business impact.

As a Senior AI/ML Engineer at Nansen, you will develop and monitor AI models to analyze blockchain data, collaborate with cross-functional teams to enhance the platform's analytical capabilities, and mentor junior engineers. Your work will significantly influence decision-making for crypto investors and drive the technology forward.