AI Engineer

ActiveVerified 3h ago

Job description

AI Engineer

Employment Type: Full-TimeLocation: Remote, SingaporeLevel: Mid to Senior (PhD Required)

Employment Type:

Location

Level:

Transform AI Research into Real-World Impact

Transform AI Research into Real-World Impact

Transform AI Research into Real-World Impact

About the Role

About the Role

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

Key Research Areas & Responsibilities

Key Research Areas & Responsibilities

Agentic AI Systems Development

Agentic AI Systems Development

Agentic AI Systems Development

Design and implement multi-agent architectures for autonomous fraud detection and analysis

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

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

Create tool-integrated AI agents capable of complex reasoning and decision-making

Research novel approaches to agent safety and alignment in production environments

Research novel approaches to agent safety and alignment in production environments

Advanced Reasoning & Test-Time Compute

Advanced Reasoning & Test-Time Compute

Advanced Reasoning & Test-Time Compute

Implement state-of-the-art reasoning systems inspired by recent breakthroughs (o1, DeepSeek-R1)

Implement state-of-the-art reasoning systems inspired by recent breakthroughs (o1, DeepSeek-R1)

Optimize inference-time compute allocation for complex analytical tasks

Optimize inference-time compute allocation for complex analytical tasks

Develop chain-of-thought and verification mechanisms for high-stakes decision making

Develop chain-of-thought and verification mechanisms for high-stakes decision making

Research novel approaches to scaling reasoning capabilities efficiently

Research novel approaches to scaling reasoning capabilities efficiently

Multimodal AI & Knowledge Systems

Multimodal AI & Knowledge Systems

Build advanced multimodal models for analyzing video, image, text, and behavioral data

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 systemsImplement advanced chunking strategies and semantic understandingCreate context-aware retrieval mechanisms for complex documents

Develop sophisticated RAG (Retrieval-Augmented Generation) architectures:

Design high-performance vector databases and hybrid search systems

Design high-performance vector databases and hybrid search systems

Implement advanced chunking strategies and semantic understanding

Implement advanced chunking strategies and semantic understanding

Create context-aware retrieval mechanisms for complex documents

Create context-aware retrieval mechanisms for complex documents

Research cross-modal learning for fraud pattern detection

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