Senior Machine Learning Engineer - Cybersecurity at Axiado

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

190000.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cybersecurity, End 2 End Pipeline Development, Data Preprocessing, Feature Engineering, LLMs, Transformers, PyTorch, TensorFlow, Ransomware Mitigation, BMC Security, Behavioral Analysis, Edge Computing, Python, Threat Detection, Intrusion Prevention

Industry

Computer and Network Security

Description

Company Description Axiado is building the future of AIpowered digital infrastructure. We are a fastgrowing, wellfunded silicon, systems, and solutions company pioneering a new category of semiconductor called the Trusted Control/Compute Unit (TCU) that combines advanced hardware security, AIdriven resilience and efficiency, and realtime platform management. Our technology protects the world’s most critical infrastructure—from data centers to nextgeneration 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 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. Job Description 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. Key Responsibilities: 1. End 2 End Machine Learning Pipeline Development: · 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. 2. Expertise in LLMs, Transformers, and Frameworks: · 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. 3. Specialized in Cyber Threat Detection and Mitigation: · 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. 4. Edge Computing for Cybersecurity Applications: · Optimize cybersecurity-focused machine learning models for deployment on edge devices. · Address the unique challenges of implementing AI solutions in resource-constrained environments. 5. Professional and Research Expertise in Cybersecurity and AI: · 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. Qualifications · 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. Additional Information Axiado is committed to attracting, developing, and retaining the highest caliber talent in a diverse and multifaceted environment. We are headquartered in the heart of Silicon Valley, with access to the world's leading research, technology and talent. We are building an exceptional team to secure every node on the internet. For us, solving real-world problems takes precedence over purely theoretical problems. As a result, we prefer individuals with persistence, intelligence and high curiosity over pedigree alone. Working hard and smart, continuous learning and mutual support are all part of who we are. Axiado is an Equal Opportunity Employer. Axiado does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Department: ML Compensation: USD 80000 - USD 190000 - yearly

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Responsibilities

The role involves designing and managing end-to-end machine learning pipelines for cybersecurity, utilizing LLMs and frameworks like PyTorch to develop AI-driven solutions for detecting and preventing advanced threats like ransomware. Key tasks include implementing BMC level security and optimizing models for edge deployment.