AI Engineer (PhD Required)

Overview AI Engineer *PhD Required Employment Type:

Full-Time Location:

Remote, Pakistan

Transform AI Research into Real-World Impact

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 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

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.

Benefits At Pixalate, we offer an extremely competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.

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

About us 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:

UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy.

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

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, 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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