Senior Machine Learning Engineer - Cybersecurity

Axiado is building the future of AI powered digital infrastructure. We are a fast-growing, well funded silicon, systems, and solutions company pioneering a new category of semiconductor called the Trusted Control/Compute Unit (TCU) that combines advanced hardware security, AI driven resilience and efficiency, and real-time platform management. Our technology protects the world’s most critical infrastructure—from data centers to next generation cloud and AI platforms—by securing systems at the foundation levels of hardware, independent of host CPUs and operating systems.

Founded in 2019 and now over 150 employees are strong, Axiado has evolved into a recognized leader in the convergence of AI, security, and silicon innovation. We partner with and are actively engaged in commercial programs with multiple Tier 1 industry leaders, validating both our technology and our long-term market trajectory. Axiado has also won numerous industry awards for our ground-breaking products and technological innovations, including being named one of Fast Company’s 2025 Top 10 Most Innovative Companies in Security, winning the 2025 Global InfoSec Award for Outstanding AI Security Solution, and being named a finalist for the Global Semiconductor Alliance’s 2025 “Start-Up to Watch” award.

At Axiado, developing breakthrough technology takes more than great engineering—it takes a team of exceptional people who collaborate boldly, challenge assumptions, and take pride in building what comes next. We value curiosity, execution, respect, and a shared desire to make a meaningful impact on the security and reliability of the digital world.

If you’re driven to innovate, energized by hard problems, and excited to help define the future of secure AI infrastructure, we invite you to apply and join us on this journey.

We are on the lookout for a Machine Learning Engineer with a specialized focus on cybersecurity. The candidate should have a comprehensive understanding of the evolving landscape of cyber threats and be equipped with the skills to develop AI-driven solutions to these challenges. This role demands expertise in handling and mitigating sophisticated cyber-attacks such as ransomware, as well as ensuring high-level security in data centers and operational environments.

Responsibilities

Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications.; Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection.; Utilize large language models and transformers to analyze and predict cybersecurity threats.; Proficient in frameworks like PyTorch and TensorFlow, applied in the context of cybersecurity.; Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats.; Implement BMC (Baseboard Management Controller) level security measures for data center protection.; Conduct machine learning-based behavioral analysis for routine operational environments to detect anomalies and prevent intrusion.; Optimize cybersecurity-focused machine learning models for deployment on edge devices.; Address the unique challenges of implementing AI solutions in resource-constrained environments.; Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions.; Actively engaging in research, staying abreast of the latest threats and technological advancements in cybersecurity.

Requirements

5+ years of experience in machine learning and cybersecurity.; Bachelor's or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field with a focus on AI/ML.; Strong programming skills in Python, with experience in relevant ML libraries and frameworks.; Demonstrated ability to solve complex problems and a commitment to innovation in the field of cybersecurity.; Excellent communication skills and the ability to work collaboratively in a team environment.