Top Machine Learning Jobs in Singapore

The intern will develop technological tools for trading strategies, create high-performance research platforms, and collaborate with senior team members.

As a Software Engineer Intern at Citadel, you will develop technological tools for trading strategies, create large data platforms, and collaborate with teams to innovate in finance.

Lead the data build-out for a mid-frequency systematic trading strategy, collaborating with finance teams to implement and maintain high-quality data platforms.

As a Senior Lead Data Architect, you will design and direct high-quality data architecture solutions, guide teams, and influence technology decisions within JPMorgan Chase.

Design and optimize scalable machine learning platforms, data pipelines, and infrastructure for rapid ML model development, ensuring security and performance while mentoring team members.

As a Principal Machine Learning Engineer, you will lead a team to develop machine learning solutions for ads, solve business problems, and ensure system performance.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

The role requires developing and implementing quantitative models and strategies for trading, risk management, and decision-making while collaborating with sales teams and providing infrastructure support for analytical libraries.

Lead the integration of 3D NAND technology, define construction specifications and designs, and promote technical innovation through experiments and process improvements.

Lead the integration of 3D NAND technology, evaluate technology gaps, define specifications, conduct experiments, and promote innovation.

Lead a team in defect analysis technology development, focusing on semiconductor processes and innovation while mentoring and improving operations.

The VP of AI at OKX will drive AI strategy, lead a top-tier team, innovate technologies, and ensure AI integration across business domains.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

Lead AI-driven solutions scaling, product lifecycle ownership, enhancing automation, rapid prototyping, and cross-functional collaboration for business growth.

The AI Solution Architect will conduct pre-sales activities, guide product implementation, and ensure customer satisfaction through ongoing support and optimization.

As an Applied AI Engineer, you'll collaborate with customers to deploy AI products, improve model performance, and guide technical integrations.

The Research Engineer develops models and prototypes using AI, ML, and optimization to solve supply chain problems and quantify business value.

The role involves leading the integration of 3D NAND technology, addressing critical technology gaps, and driving innovation in NAND technology development.

As a Lead Machine Learning Engineer, you will develop scalable machine learning solutions and mentor other engineers to optimize ad serving technologies.

Lead a team in Real-time Defect Analysis in Technology Development, focusing on defect detection, data analysis, and collaboration with global teams to improve processes.

The Engineering Manager will oversee Agile teams, manage technology professionals, and ensure the development of customer-facing AI-powered bots, focusing on both front-end and back-end technologies.

Seeking an MLOps Engineer to enhance the deployment and optimization of machine learning models in production, ensuring reliability and efficiency of ML infrastructure.

As a Principal/Senior Product Engineer, you will develop and validate NAND Flash memory products, work on data systems and cloud platforms, and ensure effective data querying for analytics use cases.

As an AI & Data Engineering Intern, assist in data acquisition, enhance workflows, develop AI-powered data products, and collaborate on new forecasting models.