About Kipling Secure
Kipling Secure is a well-funded startup based in Silicon Valley, developing a groundbreaking AI-powered cybersecurity platform designed to safeguard modern digital infrastructure. Founded by seasoned professionals from companies like Juniper, Meta, F5, Nokia/Nuage, and top academic institutions, Kipling is redefining security by combining Deep Learning, Generative AI, and Natural Language Processing to deliver intelligent, network-focused threat detection, response, and streamlined operations.

Our platform is built for the cloud, requires no extra hardware, and offers a user-friendly experience with enterprise-level functionality. It’s designed to support diverse IT environments, including IoT and remote devices. Backed by leading venture capital firms, we are rapidly advancing toward launching our product.

About the Role
We are looking for a Principal AI / Machine Learning Engineer to lead the development and deployment of AI models that drive our cybersecurity platform. This is a unique opportunity to shape the architecture of an innovative product at the intersection of AI, networking, and security.

If you’re excited about building real-world AI systems that tackle complex cybersecurity problems and want to collaborate with a top-tier team, this is your chance.

Key Responsibilities

– Design and build comprehensive machine learning pipelines for cybersecurity applications (EDR/XDR/NDR).
– Create models that identify, prevent, and respond to advanced cyber threats using deep learning, generative AI, and NLP.
– Conduct large-scale experiments to assess AI-based threat detection methods.
– Use modern ML tools (e.g., PyTorch, TensorFlow, Hugging Face Transformers) to process structured and unstructured security data.
– Collaborate with product, engineering, and threat research teams to turn domain knowledge into production-ready models.
– Lead technical research and stay updated on the latest AI developments in cybersecurity.
– Help design the core ML platform, including data pipelines, training/inference infrastructure, and monitoring tools.

What We’re Looking For

– 7+ years of experience in machine learning, with at least 3 years applying AI in cybersecurity or infrastructure.
– Strong background in ML model development, particularly in anomaly detection, time-series analysis, and NLP.
– Experience with cybersecurity data (e.g., endpoint, network, or cloud telemetry) is a big plus.
– Solid understanding of EDR/XDR/NDR technologies, networking protocols, and cloud platforms.
– Skilled in Python and ML libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers.
– Proven track record of deploying ML models from prototype to production.
– Familiar with MLOps practices and cloud-native environments like AWS, GCP, or Azure.
– MS or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

Why Join Kipling Secure

– Join the founding team of a company creating a category-defining product at the cutting edge of AI and cybersecurity.
– Work alongside industry leaders from top tech companies and research institutions.
– Help shape the technical vision and direction of a fast-growing startup.
– Tackle impactful challenges that enhance the security of global digital infrastructure.
– Receive a competitive salary and meaningful early-stage equity in a high-growth company.