Research Engineer (1-year contract), SCIS

COMPANY DESCRIPTION Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university. Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence. RESPONSIBILITIES • This position is for School of Computing and Information Systems (SCIS). • Build and maintain end-to-end data pipelines, including data ingestion, cleaning, validation, feature engineering, and dataset versioning. • Develop and manage research codebases for optimization and machine learning experiments, ensuring reproducibility and scalability. • Implement optimization algorithms (e.g., LP/MIP, heuristics, decomposition methods, simulation-based approaches) and integrate them with learning components. • Develop internal tools (e.g., APIs, evaluation frameworks, benchmarking pipelines, dashboards) to support research workflows. • Support large-scale experimentation, including performance optimization, parallelization, and reproducibility. • Collaborate closely with researchers to translate conceptual models into robust, reusable implementations • Other duties as assigned. QUALIFICATIONS • Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Data Science, Operations Research, or a related field. • Strong programming skills in Python; experience with production-quality code (testing, modular design, version control). • Experience building data and/or machine learning pipelines (e.g., pandas, SQL, workflow tools). • Experience implementing algorithms and running large-scale experiments. • Familiarity with Linux environments, Git, and reproducible workflows (e.g., conda, Docker). • Proficiency in using AI tools to support development and experimentation. • Strong problem-solving, communication, and collaboration skills. • Preference for candidate who is familiar with • Optimization tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo, cvxpy, JuMP) • Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experiment tracking tools (e.g., MLflow, Weights & Biases) • Experience with cloud or HPC environments and parallel computing frameworks (e.g., Ray, Dask, MPI) • Experience developing internal research tools (e.g., benchmarking systems, evaluation pipelines, dashboards). OTHER INFORMATION #LI-JN2 Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University