Top Machine Learning Jobs in Singapore

The Research Associate will develop and apply models for crop growth prediction, conduct experiments, and collaborate with partners for indoor farming strategies.

The Research Scientist will conduct innovative research in cloud computing and distributed systems, developing algorithms to optimize performance and efficiency through machine learning techniques.

The Research Engineer will conduct R&D on vector search systems and algorithms, design experimental frameworks, and collaborate on research publications.

The Project Officer will conduct research and develop ML methodologies, collaborate with students, and aim for publications.

The Visiting Professor will teach, conduct research, supervise graduate students, and mentor junior faculty while maintaining high scholarly standards and international visibility.

Conduct investigations on adhesive bonding and debonding of hybrid joints, develop instrumentation, and disseminate research outcomes. Requires experience in materials science and engineering.

The Research Scientist will develop AI algorithms for optimizing energy consumption in low altitude economies using UAVs, with a focus on literature review and testing solutions.

The AI Engineer will lead AI projects, train apprentices, develop AI technologies, manage recruitment, and support industry activities.

The Programme Manager will lead and manage projects related to tidal resources, supporting research, development, and deployment of energy solutions, while collaborating with stakeholders and providing mentorship to the research team.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

Manage the ILS/training workpackage, ensuring logistical commitments are met. Design and develop training programs, provide technical documentation, and oversee stakeholder communications to meet project expectations and improve ILS/training competitiveness.

Design and deploy robotics AI solutions from simulation to real robots. Develop perception, sensor fusion, SLAM, planning, and edge-optimized ML models; integrate with ROS/ROS2 and NVIDIA robotics frameworks; optimize models for ONNX/TensorRT/JETSON; implement inference pipelines, monitoring, and reproducible training workflows; lead technical design, mentor engineers, and collaborate across hardware, firmware, and product teams.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

Lead the technical strategy and project execution for CuspAI in Singapore, managing local teams and translating commercial needs into technical solutions. Drive growth and partnerships while ensuring alignment with global strategies.

As a Senior Technology Recruiter, you'll manage the recruitment lifecycle for technology roles, emphasizing AI, software engineering, and building talent strategies in collaboration with business leaders to support Kensho's objectives in Singapore.

As a Principal Engineer, you'll lead CMP process development, optimization, and sustainability, while collaborating with teams to enhance performance and drive innovation in semiconductor fabrication.

Lead SEAA's regional Data & Intelligence strategy, prioritize and deliver data, analytics and AI initiatives, guide platform and architecture choices, embed governance and responsible AI, drive data literacy and adoption, and build a high-performing data team aligned with global standards.

Drive business development for recruitment in crypto, blockchain, AI/ML, and fintech sectors: identify opportunities, build client relationships, negotiate deals, collaborate with recruiters, participate in 360 recruitment, and track performance metrics to grow accounts and revenue.

Apply and adapt the COSMOS framework to new scientific datasets, collaborate with domain experts to interpret discovered motifs and co-develop mechanistic hypotheses, guide data structuring and labeling, advise experimental planning, and build reusable ML pipelines for deployment across domains.

Lead design, development and deployment of enterprise AI/ML platforms and production models. Act as AI platform SME, build reusable libraries, data/ML pipelines, tools and UIs, collaborate with data scientists, IT and business stakeholders, and drive adoption of GenAI and best practices across the bank.

Work with strategic customers to identify high-leverage ML opportunities, build production-grade solutions, design adaptive data strategies, deploy models, and own outcomes from discovery through deployment.

As a Machine Learning Engineer, you will develop AI solutions to enhance marketing and sales through collaboration with teams, deploying ML models, and optimizing AI systems.

Build assistive 3D tooling using geometry methods, implicit representations, neural rendering, and generative models to accelerate cleanup, retopology, UV/texturing, and other game-asset pipeline steps. Partner with artists, define evaluations for 3D quality and game-readiness, and ship production-ready ML systems under runtime constraints.

Design and deliver ML tools that automate animation tasks (retargeting, cleanup, foot-locking, rig workflows). Partner with animators and tech artists, evaluate motion quality and time savings, and integrate production-ready motion generation and control models within runtime constraints.

As a Research Scientist-1, you will contribute to AI solutions, analyze data, write research papers, and collaborate with a diverse team.