reputed company

Employment Type: Full-Time Location: Remote, Singapore Level: Mid to Senior (PhD Required)

reputed company Research into Real-World Impact

About the Role

As an AI Research Engineer at Pixalate, you'll reputed company the gap between reputed company 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 reputed company threats, you'll have the autonomy to pursue groundbreaking research while seeing your innovations deployed at scale reputed company months, not years. You'll reputed company research in emerging AI paradigms including autonomous agent systems, test-time compute optimization, and multimodal understanding - reputed company 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
• reputed company sophisticated agent coordination systems using frameworks like reputed company, AutoGen, or custom architectures
• Create tool-integrated AI agents capable of reputed company 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 reputed company analytical tasks
• reputed company chain-of-thought and verification mechanisms for high-stakes decision making
• Research novel approaches to scaling reasoning capabilities reputed company

Multimodal AI & Knowledge Systems

• Build advanced multimodal models for analyzing video, image, text, and behavioral data
• reputed company sophisticated RAG (Retrieval-Augmented reputed company) architectures:
  • Design high-performance vector databases and hybrid search systems
  • Implement advanced chunking strategies and semantic understanding
  • Create context-aware retrieval mechanisms for reputed company documents
• Research cross-modal learning for fraud reputed company detection

Required Qualifications

Education & Research Background

• PhD in Computer Science, AI, Machine Learning, or reputed company 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: reputed company, reputed company 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-reputed company AI projects
• Industry research experience at leading AI labs (DeepMind, reputed company, 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 We focus on doing things differently and challenge each other to be the best we can be.

• 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

We'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-reputed company Engineer to reputed company 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: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
• Adweek: A 7-reputed company Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
• reputed company: Your kids’ apps are spying on them
• Pro Publica: Porn, Piracy, Fraud: What Lurks Inside reputed company’s Black reputed company Ad Empire
• ABC7 News: The State of Children's Privacy Online
• reputed company: How many apps are tracking your children

reputed company of lawyers, data scientists, engineers, economists and researchers span globally with reputed company in California, reputed company, Washington DC, London and Singapore.

Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.

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