AI Research Engineer (Singapore Based)

About the Position

AI Research Engineer (Singapore Based)

Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems, and generative AI. We build intelligent products that serve millions of users and partner organizations across Southeast Asia and Europe. Our research engineers sit at the intersection of scientific inquiry and production engineering-discovering new methods, validating them rigorously, and shipping them into real-world products.

Responsibilities

As an AI Research Engineer at Amity AI Research and Application Center you will own ambitious research goals while ensuring that breakthroughs translate into scalable, production-grade systems.

Research & Experimentation

• Conduct original research in one or more areas: large language models, NLP, computer vision, reinforcement learning, generative models, agentic AI, or multimodal learning.
• Design and run rigorous experiments-including ablation studies, benchmark evaluations, and statistical analyses-to validate new methods and architectures.
• Survey, reproduce, and extend state-of-the-art results from recent literature; maintain a reading group culture within the team.
• Develop novel algorithms, model architectures, and training strategies that push performance boundaries on real-world tasks.

Model Development & Optimisation

• Design, train, and fine-tune large-scale deep learning models (LLMs, diffusion models, multi-modal models) using modern frameworks such as PyTorch, TRL, Unsloth, or verl. (Reinforcement Learning Experience is a plus).
• Optimize model performance through techniques such as knowledge distillation, quantization, pruning, mixed-precision training, and efficient attention mechanisms.
• Build and improve training infrastructure for distributed, large-scale model training across GPU/TPU clusters.
• Develop evaluation frameworks and metrics to systematically measure model quality, safety, and robustness.

Applied Research & Productionisation

• Translate research outcomes into production-ready features-building proof-of-concepts (PoCs), prototypes, and scalable AI services.
• Design and operate RAG pipelines (ingestion, chunking, embeddings, hybrid search, re-rankers) with vector databases (pgvector, Pinecone, Weaviate, OpenSearch) to support retrieval-augmented applications.
• Architect and ship LLM-powered agents and chatbots using agentic patterns (tool/function calling, planning, memory, multi-agent orchestration) with robust safety and fallback mechanisms.
• Collaborate with product and engineering teams to integrate AI capabilities into customer-facing platforms via APIs and microservices.

Data & Infrastructure

• Curate, clean, and build high-quality datasets for pre-training, fine-tuning, and evaluation; design data pipelines for continuous data collection and annotation.
• Implement and maintain scalable ML infrastructure using Docker, Kubernetes, CI/CD, and experiment-tracking tools (MLflow, Weights & Biases, or similar).
• Monitor deployed models, design automated retraining pipelines, and ensure ongoing model quality through observability and alerting.

Knowledge Sharing & Community

• Author technical papers, internal reports, and blog posts that communicate research findings to both technical and non-technical audiences.
• Present research at internal seminars, external conferences, and community meetups.
• Contribute to open-source projects and public benchmarks to enhance Amity’s visibility in the research community.

Requirements

Required

• Education: Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
• Research Experience: 3+ years of hands-on experience in AI/ML research or research engineering, with demonstrated ability to design experiments, analyze results, and iterate on methods.
• Publication Track Record: At least one first-author or co-author publication at a recognized venue (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, or equivalent), or equivalent demonstrated research output (patents, technical reports, significant open-source contributions).
• Deep Learning Expertise: Strong proficiency with Python and modern deep learning frameworks (PyTorch, JAX, or TensorFlow); solid understanding of model architectures (Transformers, diffusion models, GNNs) and training techniques (RLHF, DPO, SFT, pre-training).
• Engineering Rigour: Ability to write clean, maintainable, production-quality code; familiarity with software engineering best practices (version control, code review, testing, CI/CD).
• Mathematical Foundations: Strong grounding in linear algebra, probability, statistics, optimization, and information theory.

Preferred

• Agentic & LLM Systems: Experience designing agentic architectures (tool/function calling, planning, memory, multi-agent orchestration via frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI).
• RAG & Knowledge Systems: Hands-on experience with retrieval-augmented generation pipelines, embedding models, hybrid search, and vector databases.
• Distributed Training: Experience with large-scale distributed training across multi-GPU/TPU environments (DeepSpeed, FSDP, Megatron-LM, or similar).
• Cloud & MLOps: Working knowledge of cloud platforms (AWS, GCP, or Azure) and ML operations tooling (MLflow, W&B, Kubeflow).
• Open-Source Contributions: Active contributions to well-known AI/ML open-source projects or libraries.

Communication: Excellent written and verbal communication skills; ability to distill complex research into clear recommendations for diverse stakeholders.

We Offer

At Amity Solutions, we are dedicated to creating a dynamic and supportive work environment that prioritizes growth, learning, and inclusivity. As an equal opportunity employer, we welcome applicants from all backgrounds, embracing diversity in ethnicity, gender, disability, religion, belief, sexual orientation, and age. Join our Singapore team to enjoy a wide range of benefits as we innovate and grow together.

Discover more about our team values, benefits, and career opportunities at Amity Solutions Singapore on our official website.

About the Company

Amity Solutions is a leading company in the field of applied AI research, dedicated to developing intelligent products that serve millions of users and partner organizations across Southeast Asia and Europe. Our mission is to advance the frontier of AI research and apply it to real-world problems, creating scalable, production-grade systems that deliver measurable business and societal value.