AI Engineer; PhD Job Singapore,Software Development

Position: AI Engineer (PhD Required)

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 Lang Chain, Auto Gen, 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, Deep Seek-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, Tensor Flow)
Advanced experience with:
- Modern AI frameworks:
  Lang Chain, 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, Tensor Board
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 (Deep Mind, 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

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…


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