Top Tech Jobs & Startup Jobs in Singapore

Conduct research and development in computer vision, multimodal learning, medical and industrial imaging, and related AI applications. Design, train, and evaluate deep learning models using Python and PyTorch; curate datasets; perform experiments and analyze results. Review literature, identify research opportunities, contribute to papers, reports, presentations, and code, and collaborate with the principal investigator and multidisciplinary research teams.

Manage or co-manage a global multi-asset investment portfolio spanning public and private markets, including credit, equities, and hedge funds. Responsibilities include investment research, due diligence, asset allocation, trade execution, risk management, performance monitoring, financial analysis, valuation, and developing investment frameworks to generate excess returns. The role also involves evaluating external managers and communicating investment proposals to stakeholders.

Supports co11ab’s community operations, member onboarding, stakeholder engagement, ecosystem visits, programmes, workshops, events, outreach and marketing communications. Maintains membership, CRM and operational records; coordinates internal teams, speakers, vendors and partners; supports website, LinkedIn, newsletters and promotional materials; and improves operational efficiency and member experience. The role engages startups, healthcare institutions, researchers, investors, industry partners, government agencies and senior management.

Conduct research on AI-based process monitoring for laser-based metal additive manufacturing. Responsibilities include collecting thermal data, developing data-efficient AI models, detecting anomalies and material defects, implementing real-time layer-wise monitoring, optimizing process parameters, supporting energy-system collaborations, maintaining laboratory resources, documenting findings, mentoring students, and assisting with research proposals and publications.

Leads the Office for Research’s HR and Finance unit, supervising staff and overseeing faculty and research staffing, financial operations, procurement, budgeting, claims, reporting, compliance, and funding processes. Provides HR and financial advice, maintains institutional relationships, manages shared services and governance, updates procedures and systems, monitors KPIs, supports change management, and drives process improvements across the Office and Research Centres.

Leads postgraduate intake and enrolment planning, coordinating projections, data validation, reporting, certification, and compliance. Prepares management presentations, monitors institutional performance indicators, identifies trends and risks, and recommends actions. The role strengthens governance, reporting frameworks, stakeholder engagement, data integrity, and continuous process improvement across the university’s graduate education planning activities.

Develop Green AI technologies focused on efficient machine learning, large language models, model optimization, parameter-efficient fine-tuning, retrieval-augmented generation, prompt engineering, and efficient inference. Conduct experiments, benchmark algorithms, analyze performance, contribute to research publications, and collaborate with multidisciplinary teams to translate research into deployable sustainable computing solutions.

Provides career development services to graduate students, including workshops, counseling, employer engagement, job and internship sourcing, and placement support. Builds partnerships with recruiters, hiring managers, alumni, and internal stakeholders across Singapore and international markets. Develops recruitment strategies, manages employer relationships, advises students on sectors and geographies, monitors internship progress, and supports industry projects and visits.

Plans and promotes AI community events, engages members across online platforms, manages onboarding and communications, develops content, coordinates technical support, grows social followership, and analyzes community metrics and feedback to improve engagement, retention, and program outcomes.

Design, build, and scale data infrastructure for LLM training, fine-tuning, evaluation, and RAG. Implement and maintain data architectures, pipelines (batch and streaming), org-level IAM and governance, cost/performance optimizations, analytics/dashboarding, AI-assisted ops and internal automation tools, and support multi-cloud production workloads.