AI Engineer

7 days ago


Singapore Pixalate Full time

AI Engineer Employment Type: Full‐Time Location: Remote, Singapore Level: Mid to Senior (PhD Required)Transform AI Research into Real‐World Impact About The Role As 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 & Responsibilities Agentic AI Systems Development Design and implement multi‐agent architectures for autonomous fraud detection and analysis Develop sophisticated agent coordination systems using frameworks like LangChain, AutoGen, or custom architectures Create tool‐integrated AI agents capable of complex reasoning and decision‐making Research novel approaches to agent safety and alignment in production environments Advanced Reasoning & Test‐Time Compute Implement state‐of‐the‐art reasoning systems inspired by recent breakthroughs (o1, DeepSeek‐R1)Optimize inference‐time compute allocation for complex analytical tasks Develop chain‐of‐thought and verification mechanisms for high‐stakes decision making Research novel approaches to scaling reasoning capabilities efficiently Multimodal AI & Knowledge Systems Build advanced multimodal models for analyzing video, image, text, and behavioral data Develop sophisticated RAG (Retrieval‐Augmented Generation) architectures: Design high‐performance vector databases and hybrid search systems Implement advanced chunking strategies and semantic understanding Create context‐aware retrieval mechanisms for complex documents Research cross‐modal learning for fraud pattern detection Required Qualifications Education & Research Background 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 Agentic AI, autonomous systems, or multi‐agent coordination Multimodal learning or computer vision Distributed systems and scalable ML Technical Expertise Expert proficiency in Python and deep learning frameworks (PyTorch preferred, TensorFlow)Advanced experience with: Modern AI frameworks: LangChain, Hugging Face Transformers, Ray Agent development and orchestration RAG systems and vector databases Distributed training frameworks and GPU optimization Strong understanding of: Transformer architectures and attention mechanisms Reinforcement learning and reward modeling Neural architecture search and AutoML MLOps and production ML systems Research Skills 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 Preferred Qualifications Experience with fraud detection, cybersecurity, or trust & safety applications Contributions to open‐source AI projects Industry research experience at leading AI labs (DeepMind, OpenAI, FAIR, etc.)Experience translating research into production systems Experience with: Mixture of Experts (MoE) architectures Constitutional AI and alignment techniques Efficient inference optimization (quantization, distillation)Real‐time streaming ML systems Benefits Monthly internet reimbursement Casual, remote work environment Hybrid, flexible hours Opportunity for advancement Fun annual team events Being part of a high‐performing team that wants to win and have fun doing it Extremely competitive compensation About Pixalate 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. Notable Works Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says Adweek: A 7‐Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV Washington Post: Your kids' apps are spying on them Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google's Black Box Ad Empire ABC7 News: The State of Children's Privacy Online NBC News: How many apps are tracking your children Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research. #J-18808-Ljbffr


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