HydroX AI

About the Company

Welcome to HydroX AI – your partner in fortifying the future of artificial intelligence. As pioneers in AI security, we specialize in delivering pre-built, intelligent, and efficient solutions. With a team led by former engineers from Meta and LinkedIn, we bring a wealth of experience to safeguard your AI models against evolving threats. At HydroX AI, we're dedicated to securing your AI journey, offering advanced platforms, tailored frameworks, and cutting-edge research. Our focus is clear – to provide comprehensive security measures, ensuring your AI projects thrive in a secure and dynamic environment. Join us on this transformative journey, where innovation meets protection. HydroX AI is not just a solution; it's your shield in the world of artificial intelligence. Together, let's build a secure and intelligent future. Join our dedicated AI Safety & Security community: https://discord.com/invite/uTmHN987KX

Listed Jobs

Company Name

HydroX AI

Job Title

Senior Machine Learning Engineer

Job Description

**Job Title:** Senior Machine Learning Engineer **Role Summary:** Lead the design, deployment, and optimization of production‑ready machine learning models within an AI security context. Collaborate cross‑functionally to embed ML capabilities into full‑stack solutions and drive MLOps practices for continuous integration and delivery. **Expactations:** - Own end‑to‑end model lifecycle: research, train, evaluate, deploy, and iterate at scale. - Deliver reliable, low‑latency inference services that protect AI assets from emerging threats. - Mentor junior engineers and establish AI best‑practice standards across the team. **Key Responsibilities:** - Design, develop, and production‑deploy ML models and AI algorithms. - Build and maintain scalable AI infrastructure (data pipelines, training systems, inference engines). - Integrate ML outputs into full‑stack applications (React, Go). - Optimize model performance, latency, and resource usage for large‑scale deployments. - Conduct research on state‑of‑the‑art techniques including LLMs, computer vision, and NLP. - Develop and maintain MLOps pipelines (continuous training, validation, deployment). - Analyze large datasets to extract actionable insights and improve model accuracy. - Translate business requirements into technical AI solutions in partnership with product teams. **Required Skills:** - 5+ years in ML/AI engineering with deep‑learning expertise. - Proficiency in Python, TensorFlow, PyTorch, scikit‑learn. - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). - Solid grasp of ML fundamentals: supervised/unsupervised learning, neural networks, statistical modeling. - Data engineering skills: SQL, ETL pipelines, data warehousing. - Version control (Git), collaborative development practices. - Strong problem‑solving and communication abilities. **Required Education & Certifications:** - Master’s or PhD in Computer Science, Machine Learning, or related field (advanced degree preferred). - No specific certifications mandatory, but experience with AI security and safeguarding models is a plus.

San jose, United states

On site

Senior

14-12-2025