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AI-Powered Job Summary
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In this role, you will apply advanced artificial intelligence and machine learning techniques to develop innovative cybersecurity solutions. Working with exclusive datasets, you will leverage technologies such as graph neural networks, transformers, and LLMs to analyze data and build high-impact tools. You will collaborate closely with product and research teams, turning prototypes into practical solutions that protect customer data in real-world scenarios. This is a highly visible role in a dynamic, early-growth environment, offering the opportunity to influence product strategy and contribute directly to critical cybersecurity advancements. Ideal candidates are creative problem-solvers, deeply knowledgeable in AI/ML, and passionate about delivering practical, scalable solutions.
Accountabilities
- Apply state-of-the-art AI/ML techniques to develop cybersecurity solutions addressing complex real-world challenges.
- Work with proprietary datasets to build, test, and deploy models that detect, prevent, and mitigate threats.
- Collaborate with cross-functional teams, including product and engineering, to translate prototypes into production-ready systems.
- Contribute to research initiatives, keeping the team at the forefront of AI/ML and cybersecurity innovations.
- Participate in technical discussions, design reviews, and mentorship to elevate the team’s capabilities.
- Communicate results and insights effectively to both technical and non-technical stakeholders.
- Proven experience in AI/ML research or applied engineering roles, preferably in cybersecurity or related domains.
- Expertise in deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face libraries.
- Solid understanding of LLMs, transformers, embeddings, probability theory, and related AI technologies.
- Experience with building RAG pipelines, AI agents, or similar LLM applications.
- Strong analytical and problem-solving skills with a practical mindset for real-world applications.
- Excellent verbal and written communication skills in English.
- Preferred: Ph.D. or significant research contributions, publications, or presentations in AI/ML or cybersecurity.
- Preferred: Experience in anomaly detection or related security-focused AI projects.
- Competitive salary range of $225K – $250K, with performance-based adjustments and equity considerations.
- Remote work flexibility across the United States, with opportunities for collaborative team engagement.
- Access to cutting-edge AI/ML projects and proprietary datasets.
- Professional growth through collaboration with a highly skilled team of experts.
- Inclusive and diverse workplace committed to equal opportunity and employee development.
- Opportunity to make a tangible impact on cybersecurity solutions used by real customers.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
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