AI Jobs in Singapore

Find top AI jobs in Singapore across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 73 new AI opportunities posted on The Homebase

Senior Machine Learning Engineer

New
Top rated
PhysicsX
Full-time
Full-time
Posted

Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

Undisclosed

()

Singapore
Maybe global
Hybrid

Senior Forward Deployed Software Engineer

New
Top rated
PhysicsX
Full-time
Full-time
Posted

Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) empowered to make implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from Data Scientists and Simulation Engineers using the product.

Undisclosed

()

Singapore
Maybe global
Hybrid

Senior CFD Engineer

New
Top rated
PhysicsX
Full-time
Full-time
Posted

Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

Undisclosed

()

Singapore
Maybe global
Hybrid

Principal Machine Learning Engineer

New
Top rated
PhysicsX
Full-time
Full-time
Posted

The role involves building a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The candidate will work on a focused, stream-aligned, and cross-functional team that includes back-end, front-end, and design members, empowered to make its own implementation decisions towards meeting its objectives. Responsibilities include gathering and leveraging domain knowledge and experience from the Data Scientists and Simulation Engineers using the product, taking ownership of work from implementation to production, ensuring quality, scalability, and observability at every step, which includes testing, containerization, continuous integration and delivery, authentication, authorization, telemetry, observability, and monitoring.

Undisclosed

()

Singapore
Maybe global
Hybrid

Principal Forward Deployed Software Engineer

New
Top rated
PhysicsX
Full-time
Full-time
Posted

Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

Undisclosed

()

Shoreditch, Singapore
Maybe global
Hybrid

Principal Data Scientist

New
Top rated
PhysicsX
Full-time
Full-time
Posted

Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

Undisclosed

()

Shoreditch, Singapore
Maybe global
Hybrid

Delivery Engineer

New
Top rated
PhysicsX
Full-time
Full-time
Posted

Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

Undisclosed

()

Singapore
Maybe global
Hybrid

AI / ML Solutions Engineer

New
Top rated
Anyscale
Full-time
Full-time
Posted

The AI / ML Solutions Engineer at Anyscale is responsible for designing, implementing, and scaling machine learning and AI workloads using Ray and Anyscale directly with customers. This includes implementing production AI / ML workloads such as distributed model training, scalable inference and serving, and data preprocessing and feature pipelines. The role involves working hands-on with customer codebases to refactor or adapt existing workloads to Ray. The engineer advises customers on ML system architecture including application design for distributed execution, resource management and scaling strategies, and reliability, fault tolerance, and performance tuning. They guide customers through architectural and operational changes needed to adopt Ray and Anyscale effectively. Additionally, the engineer partners with customer MLE and MLOps teams to integrate Ray into existing platforms and workflows, supports CI/CD, monitoring, retraining, and operational best practices, and helps customers transition from experimentation to production-grade ML systems. They also enable customer teams through working sessions, design reviews, training delivery, and hands-on guidance, contribute feedback to product, engineering, and education teams, and help develop reference architectures, examples, and best practices based on real customer use cases.

Undisclosed

()

Maybe global
Remote

Software Engineer, macOS Core Product - Virginia Beach, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, then design and implement solutions addressing the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Software Engineer, macOS Core Product - Rialto, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to their customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What types of AI jobs are available in Singapore?","answer":"Singapore offers diverse AI career opportunities across multiple specializations. Common roles include Machine Learning Engineers who build predictive models, Data Scientists analyzing complex datasets, and AI Engineers developing intelligent systems. The market also needs Generative AI Developers creating content-generation tools, AI Product Managers guiding development, and MLOps Engineers maintaining AI infrastructure. Specialized positions in computer vision, natural language processing, and algorithm engineering are growing rapidly. These roles appear across finance, healthcare, government, and technology sectors as Singapore continues its national AI initiatives and attracts significant private investment in the field."},{"question":"Are there remote AI jobs available in Singapore?","answer":"Current research doesn't specifically address remote work arrangements for AI jobs in Singapore. Most AI positions appear linked to Singapore's status as a technology hub, suggesting primarily on-site or hybrid models in sectors like finance, technology, and government agencies. Companies likely establish their AI teams within Singapore's innovation ecosystem to leverage local talent networks and infrastructure. While remote options may exist, particularly for international companies with Singapore offices, the emphasis on Singapore as a physical tech center implies that fully remote AI positions might be less common than on-site opportunities. Job seekers should check specific listings for remote flexibility."},{"question":"What skills are most in demand for AI jobs in Singapore?","answer":"Singapore employers prioritize technical proficiency in machine learning frameworks, generative AI tools, and data science methodologies. MLOps skills for managing AI infrastructure are increasingly valuable, alongside expertise in specific AI applications like computer vision and natural language processing. Beyond technical skills, understanding of AI ethics, data privacy, cybersecurity, and regulatory compliance has become essential as Singapore implements governance frameworks. Companies seek professionals familiar with agentic AI systems and enterprise integration. The government's national AI initiatives are driving demand for talent who can bridge theoretical knowledge with practical implementation across finance, healthcare, and other key sectors."},{"question":"What is the salary range for AI jobs in Singapore?","answer":"AI professionals in Singapore typically earn between S$110,000 and S$210,000 annually, with employers paying premiums up to 20% above standard tech salaries to attract qualified talent. Compensation varies significantly based on specialization, with machine learning engineers and AI architects often commanding higher figures than general data roles. Experience level substantially impacts earnings, though specific junior/mid/senior breakdowns aren't detailed in research. Industry sector influences pay scales, with finance and technology companies typically offering more competitive packages. The persistent talent shortage in specialized areas like generative AI and MLOps continues to drive salary growth across the Singaporean AI job market."},{"question":"What experience levels are companies hiring for in AI jobs in Singapore?","answer":"Singapore's AI job market shows strong competition for experienced professionals, with many candidates receiving multiple offers. While specific breakdowns of junior/mid/senior hiring aren't detailed in research, the persistent talent shortage suggests companies prioritize candidates with proven expertise. The market appears to value practical implementation experience over purely academic credentials. Many organizations supplement external hiring with internal upskilling programs to build AI capabilities. Government initiatives are also supporting talent development to address gaps. For entry-level candidates, roles in data analytics and AI support may provide pathways into more specialized positions as they gain experience in Singapore's growing AI ecosystem."},{"question":"How often are new AI jobs posted in Singapore?","answer":"Singapore leads globally in AI job integration, with approximately one in six job postings mentioning AI skills, and a remarkable 57% of data and analytics roles referencing AI requirements as of August 2025. New positions appear regularly across software development, data science, and specialized AI fields. While overall job posting volume declined 16.2% year-on-year, the pace of AI-specific hiring outperforms general recruitment trends. The market shows particular demand in finance, healthcare, and government sectors implementing AI strategies. Exact daily or weekly posting frequencies aren't specified in research, but Singapore's 565% AI talent growth from 2016-2022 indicates sustained and significant job creation."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The research provided doesn't contain specific information about The Homebase job board or how it compares to other platforms. General job sites like Indeed capture broad AI employment trends across Singapore, showing high AI integration in job descriptions, particularly in data and analytics roles (57%). Without comparative data on The Homebase, it's impossible to make factual claims about its differentiating features, curation approach, or unique value proposition for AI job seekers in Singapore. When evaluating job boards, candidates should consider factors like specialization in AI/ML roles, quality of listings, employer verification processes, and tools for matching with relevant opportunities."}]