Pixalate is hiring a full-time senior AI Engineer (PhD required) to work remotely from Singapore. The role involves bridging AI research and production systems focused on digital safety and fraud detection. Responsibilities include designing multi-agent AI systems, advanced reasoning and compute optimization, and building multimodal AI and knowledge systems. Candidates must have a PhD in Computer Science, AI, Machine Learning or related field, with published research in large language models, agentic AI, multimodal learning, and scalable ML. Technical expertise required includes Python, PyTorch, TensorFlow, LangChain, Hugging Face Transformers, Ray, RAG systems, vector databases, distributed training, and GPU optimization. Strong research skills and experience with MLOps, reinforcement learning, neural architecture search, and production ML systems are essential. Benefits include monthly internet reimbursement, flexible remote work environment, advancement opportunities, team events, and competitive compensation.
What you'll do
Design and implement multi-agent architectures for autonomous fraud detection and analysis
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Build advanced multimodal models for analyzing video, image, text, and behavioral data
Develop sophisticated RAG (Retrieval-Augmented Generation) architectures including high-performance vector databases and hybrid search systems
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Create context-aware retrieval mechanisms for complex documents
Research cross-modal learning for fraud pattern detection
Requirements
PhD in Computer Science, AI, Machine Learning, or related field (or exceptional research track record)
Published research in peer-reviewed venues demonstrating expertise in Large Language Models and transformer architectures
Published research demonstrating expertise in Agentic AI, autonomous systems, or multi-agent coordination
Published research demonstrating expertise in Multimodal learning or computer vision
Published research demonstrating expertise in Distributed systems and scalable ML
Expert proficiency in Python and deep learning frameworks (PyTorch preferred, TensorFlow)
Advanced experience with modern AI frameworks: LangChain, Hugging Face Transformers, Ray
Experience in agent development and orchestration
Experience with RAG systems and vector databases
Experience with distributed training frameworks and GPU optimization
Strong understanding of transformer architectures and attention mechanisms
Strong understanding of reinforcement learning and reward modeling
Strong understanding of neural architecture search and AutoML
Strong understanding of MLOps and production ML systems
Track record of novel algorithm development and innovation
Experience with large-scale experimentation and ablation studies
Proficiency in research tools: Weights & Biases, MLflow, TensorBoard
Strong theoretical foundation in optimization, statistics, and linear algebra
Tech stack
PythonPyTorchTensorFlowLangChainAutoGenHugging Face TransformersRayRAG systemsvector databasesdistributed training frameworksGPU optimizationWeights & BiasesMLflowTensorBoard
Benefits
Monthly internet reimbursementCasual, remote work environmentHybrid, flexible hoursOpportunity for advancementFun annual team eventsBeing part of a high-performing teamExtremely competitive compensation
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