AI Engineer (PhD Required)

AI EngineerEmployment Type: Full-TimeLocation: Remote, SingaporeLevel: Mid to Senior (PhD Required)Transform AI Research into Real-World ImpactAbout the RoleAs an AI Research Engineer at Pixalate, you'll bridge the gap between fundamental AI research and production systems that protect the digital ecosystem. Working with our Research team (AFAC) that has uncovered more than $100M in ad fraud and national security threats, you'll have the autonomy to pursue groundbreaking research while seeing your innovations deployed at scale within months, not years.You'll lead research in emerging AI paradigms including autonomous agent systems, test-time compute optimization, and multimodal understanding - all applied to real-world challenges in digital safety and fraud detection.Key Research Areas & ResponsibilitiesAgentic AI Systems DevelopmentDesign and implement multi-agent architectures for autonomous fraud detection and analysisDevelop sophisticated agent coordination systems using frameworks like LangChain, AutoGen, or custom architecturesCreate tool-integrated AI agents capable of complex reasoning and decision-makingResearch novel approaches to agent safety and alignment in production environmentsAdvanced Reasoning & Test-Time ComputeImplement state-of-the-art reasoning systems inspired by recent breakthroughs (o1, DeepSeek-R1)Optimize inference-time compute allocation for complex analytical tasksDevelop chain-of-thought and verification mechanisms for high-stakes decision makingResearch novel approaches to scaling reasoning capabilities efficientlyMultimodal AI & Knowledge SystemsBuild advanced multimodal models for analyzing video, image, text, and behavioral dataDevelop sophisticated RAG (Retrieval-Augmented Generation) architectures:Design high-performance vector databases and hybrid search systemsImplement advanced chunking strategies and semantic understandingCreate context-aware retrieval mechanisms for complex documentsResearch cross-modal learning for fraud pattern detectionRequired QualificationsEducation & Research BackgroundPhD 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 architecturesAgentic AI, autonomous systems, or multi-agent coordinationMultimodal learning or computer visionDistributed systems and scalable MLTechnical ExpertiseExpert proficiency in Python and deep learning frameworks (PyTorch preferred, TensorFlow)Advanced experience with:Modern AI frameworks: LangChain, Hugging Face Transformers, RayAgent development and orchestrationRAG systems and vector databasesDistributed training frameworks and GPU optimizationStrong understanding of:Transformer architectures and attention mechanismsReinforcement learning and reward modelingNeural architecture search and AutoMLMLOps and production ML systemsResearch SkillsTrack record of novel algorithm development and innovationExperience with large-scale experimentation and ablation studiesProficiency in research tools: Weights & Biases, MLflow, TensorBoardStrong theoretical foundation in optimization, statistics, and linear algebraPreferred QualificationsExperience with fraud detection, cybersecurity, or trust & safety applicationsContributions to open-source AI projectsIndustry research experience at leading AI labs (DeepMind, OpenAI, FAIR, etc.)Experience translating research into production systemsExperience with:Mixture of Experts (MoE) architecturesConstitutional AI and alignment techniquesEfficient inference optimization (quantization, distillation)Real-time streaming ML systemsBenefitsWe focus on doing things differently and challenge each other to be the best we can be.Monthly internet reimbursementCasual, remote work environmentHybrid, flexible hoursOpportunity for advancementFun annual team eventsBeing part of a high-performing team that wants to win and have fun doing itExtremely competitive compensationWe're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:Gizmodo:

Created: 2025-10-04