Full-Time Sr Principal Machine Learning Engineer

We're seeking a talented and experienced Sr Principal AI Researcher to join the Cortex Foundational Artificial Intelligence Research Team. Our team mission is to make leading-edge AI systems perform better at cybersecurity.

Your Impact

• Advance the state of the art in Cybersecurity through applied research in Large Language Models, Transformer-based Encoders, Natural Language and Structured Data Processing, Generative AI, Agentic AI, and Deep Learning.
• Design and implement research experiments to demonstrate increased accuracy, efficiency, and helpfulness of novel AI systems and techniques.
• Train and fine-tune large-scale language models using GPU-accelerated infrastructure.
• Develop and implement evaluation metrics for assessing model quality, efficiency, and robustness.
• Stay at the forefront of AI advancements and integrate state-of-the-art techniques into our models.
• Collaborate with engineers to translate research into production-ready AI systems.
• Communicate with AI experts throughout the organization to share research findings and technical progress.
• Publish findings in top-tier AI/ML conferences and journals, and participate in relevant conferences and workshops to share knowledge and stay current with industry trends.

Your Experience

• Published research in AI/ML, with an advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field, or equivalent published research experience
• 7+ years of relevant experience in AI
• Proven expertise in training, fine-tuning, and evaluating LLMs and with GPU-accelerated model training
• Proficiency in deep learning frameworks, distributed training techniques, and large-scale datasets
• Excellent research programming skills in Python and familiarity with CUDA, TensorRT, or other GPU optimization tools
• Have a strong working knowledge of machine learning algorithms such as LLMs, CNNs, LSTMs, XGBoost/CatBoost, Byte Pair Encoding schemes, etc.
• Strong problem-solving skills and the ability to work both independently and collaboratively
• Excellent written and verbal communication
• Thrives when working on open-ended problems without known solutions

The Ideal Candidate Would Have One of More of the Following

• Experience with transformer models in domains beyond text (structured data, tabular data, multi-modal vision-language, audio-text, etc.)
• Knowledge of model distillation, quantization, or pruning techniques
• Experience with distributed cloud systems like GCP or AWS and containerization tools like Docker
• Previous experience applying AI/ML techniques to cybersecurity problems
• Knowledge of data privacy and security considerations in AI
• A solid network of AI Researchers you can reach out to for ideas and external collaboration

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