Top AI Jobs in Singapore

Lead development of vision-language model based situation awareness and decision-making for autonomous vehicles. Tasks include model training, test rig setup, experimental validation, and contributing to journal/conference publications while working with minimal supervision.

Partner with customers to design, prototype, and deploy AI-enabled cybersecurity workflows using OpenAI models and integrations. Lead discovery across security domains, build demos and pilots, define success criteria and safety guardrails, advise on secure implementation, and deliver reusable assets and product feedback.

12-16 week internship implementing and optimizing GPU/accelerator kernels and custom operators, profiling and improving LLM inference and runtime performance, building benchmarks, fixing regressions, and shipping code to production or open-source AI infra projects.

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.

Develop and train foundation models for robotics, align text-based reasoning with low-level control policies, design zero-shot generalization experiments, integrate models into robotic systems with interdisciplinary teams, and present research findings.

Lead product strategy and roadmap to translate advanced AI and robotics research (VLA models, agentic RAG) into customer-facing solutions. Define safety, usability, and performance metrics, work with enterprise early adopters, and coordinate cross-functional teams to deliver hardware and deep-tech software products.

Optimize and compress large language and vision models for on-device inference. Build distillation and hardware-specific compilation pipelines, and benchmark performance across NPU/GPU architectures for efficient edge deployment.

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows.

Design and integrate vision encoders and audio-native models into agent reasoning loops, optimize streaming latency for voice-to-voice AI interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs. Implement cross-modal alignment and leverage Whisper, CLIP, and multimodal LLMs with streaming/WebRTC architectures.

Design and run adversarial tests on LLMs and multimodal agents, implement guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployments.

Design, deploy, and maintain MLOps and agentic AI infrastructure: manage model registries and continuous training loops, implement A/B testing, deploy agents as scalable microservices on Kubernetes, and build observability dashboards to monitor token usage, latency, and agent reasoning paths.

Design, run, and optimize large-scale LLM pre-training on 1,000+ GPUs. Manage distributed training with PyTorch/DeepSpeed/Megatron-LM, optimize networking and memory, and automate checkpointing and failure recovery for long runs.

Design and implement human-robot interaction systems: build intent-recognition models from gaze/gesture/voice, program socially aware navigation, and design visual and auditory robot feedback and interfaces. Run user studies and prototype AI-driven voice and visual interfaces to evaluate interaction paradigms.

Independent full-cycle recruiter managing sourcing, client engagement, offer negotiation, and placements using AI-driven tools. Acts as commercial advisor, provides market insights, and maintains self-directed billing and activity in a results-only, remote environment.

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.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The AI Product Manager Intern will analyze product data, design AI conversation flows, support experimentation, and report findings to stakeholders, focusing on AI-driven product features.

Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.

Design and develop GenAI solutions for applications and tools, collaborate with teams, optimize AI pipelines, and document workflows.

Lead product planning and solution design for an AI-native engineering platform that integrates AI Agents, AI coding, CI/CD, testing, deployment, and knowledge systems to improve engineering productivity. Translate multi-role engineering workflows into measurable product capabilities, drive integration with code repositories and DevOps tools, evaluate product effectiveness, and scale adoption from pilot to enterprise-wide rollout.

Develop and integrate vision-guided perception with robotic control to enable autonomous maintenance tasks. Design decision-making, motion and path planning, safety constraints, simulation/testing frameworks, and validate solutions in field proof-of-concepts with service teams.

Lead Forward Deployed Engineering across APAC to design and deliver hybrid-cloud, Kubernetes-based AI platforms; bridge regional customer needs with global R&D and open-source communities; architect secure, compliant sovereign AI deployments; mentor senior engineers; drive upstream open-source contributions and regional developer engagement.

Lead field-facing engineering to integrate, prototype, and productionize enterprise and sovereign AI platforms. Architect secure, scalable Kubernetes-based deployments, optimize hardware-accelerated inference, upstream field innovations to open-source, mentor engineers, and drive global product feedback loops and SDLC improvements.

Lead AI strategy and commercial engagements for enterprise clients. Act as C-suite advisor, drive AI adoption, presales, solution design, and revenue growth. Develop AI use cases, PoCs, LLM/Generative AI solutions, partnerships, and go-to-market strategies while collaborating with product, engineering, and delivery teams and mentoring internal teams.

Lead a team to design, develop, and deploy reinforcement-learning and agent-based systems for games. Define technical roadmaps, drive R&D across RL/imitation/planning, establish evaluation frameworks, scale training and production pipelines, and collaborate cross-functionally to integrate robust, generalizable autonomous agents.