Principal Machine Learning Engineer - Kipling Secure
Principal Machine Learning Engineer - Kipling Secure
Posted on :
07-07-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
07-07-2025
Job Description
About Kipling Secure
Kipling Secure is a well-funded Silicon Valley startup building a disruptive AI-driven cybersecurity platform to protect todays digital infrastructure. Founded by industry veterans from Juniper Meta F5 Nokia/Nuage and leading academic institutions Kipling is reimagining security with a unique blend ofDeep LearningGenerative AI andNatural Language Processingto deliver intelligent network-centric threat detection response and simplified operations.
Our platform is cloud-native requires no additional hardware and is designed to deliver consumer-grade UX with enterprise-grade capabilitiestailored for a wide-range of IT environments including IoT and remote endpoints. Were backed by top-tier venture firms and are moving quickly to bring our product to market.
About the Role
Were seeking aPrincipal AI / Machine Learning Engineerto lead the design development and deployment of AI models that power our cybersecurity platform. This is a rare opportunity to shape the architecture of a cutting-edge product and work at the intersection of AI networking and security.
If youre passionate about building real-world AI systems that solve complex cybersecurity challenges and want to work with a world-class team this is your moment.
Key Responsibilities
- Architect and implement end-to-end machine learning pipelines tailored for cybersecurity use cases (EDR/XDR/NDR).
- Develop models that detect prevent and remediate sophisticated cyber threats using deep learning GenAI and NLP techniques.
- Design and run large-scale experiments to evaluate the effectiveness of AI-driven threat detection strategies.
- Apply modern ML frameworks (e.g. PyTorch TensorFlow Hugging Face Transformers) to analyze structured and unstructured security data.
- Work with product engineering and threat research teams to translate domain insights into production-grade models.
- Lead technical research and stay current with academic and industry advancements in AI for cybersecurity.
- Contribute to the core ML platform design including data pipelines model training/inference infrastructure and observability.
What Were Looking For
- 7 years of experience in machine learning with at least 3 years focused on applied AI in cybersecurity or infrastructure.
- Deep expertise in ML model development especially in anomaly detection time-series analysis and NLP.
- Experience working with cybersecurity telemetry (e.g. endpoint network or cloud data) is highly preferred.
- Strong understanding of EDR/XDR/NDR technologies networking protocols and cloud environments.
- Proficiency in Python and ML frameworks such as PyTorch TensorFlow scikit-learn and Hugging Face Transformers.
- Demonstrated ability to take ML models from prototype to production at scale.
- Familiarity with MLOps practices and cloud-native environments (e.g. AWS GCP or Azure).
- MS or PhD in Computer Science Electrical Engineering Applied Mathematics or a related field.
Why Join Kipling Secure
- Be part of a founding team building a category-defining product at the forefront of AI and cybersecurity.
- Collaborate with accomplished leaders from the worlds top tech companies and research institutions.
- Influence the technical direction and vision of a rapidly growing startup.
- Work on meaningful challenges that directly impact the safety and security of digital infrastructure worldwide.
- Competitive salary andmeaningful early-stage equityin a high-growth company.
Required Experience:
Staff IC
Employment Type
Full Time
Key Skills
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