Job Description

Company Description

HydroX AI is a pioneering company in AI security, dedicated to providing pre-built, intelligent, and efficient solutions to safeguard AI models against evolving threats. Our team, led by former engineers from Meta and LinkedIn, brings a wealth of experience to fortify your AI journey. Based in San Jose, CA, HydroX AI offers advanced platforms and tailored frameworks to ensure comprehensive security measures in a dynamic environment. Join us in building a secure and intelligent future with innovative protection for your AI projects.

Role Description

This is a full-time, on-site role for a Senior Machine Learning Engineer located in San Jose, CA. The Senior Machine Learning Engineer will be responsible for designing, implementing, and optimizing machine learning models. Day-to-day tasks include developing algorithms, conducting research on neural networks and pattern recognition, and applying statistical methods for data analysis. The role also involves collaborating with cross-functional teams to integrate machine learning solutions into AI security frameworks.

Key Responsibilities

• Design, develop, and deploy machine learning models and AI algorithms for production environments
• Build and maintain scalable AI infrastructure, including data pipelines, model training systems, and inference engines
• Collaborate with software engineers to integrate AI capabilities into full-stack applications (React + Go preferred)
• Optimize model performance, latency, and resource utilization for production-scale deployments
• Research and implement state-of-the-art AI techniques, including LLMs, computer vision, and natural language processing
• Develop and maintain MLOps pipelines for continuous model training, validation, and deployment
• Work with large datasets to extract insights and improve model accuracy
• Mentor junior team members and contribute to AI best practices across the organization
• Partner with product teams to translate business requirements into technical AI solutions

Required Qualifications

• 5+ years of experience in machine learning, deep learning, or AI engineering
• Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
• Solid understanding of ML fundamentals including supervised/unsupervised learning, neural networks, and statistical modeling
• Experience with data engineering tools and practices (SQL, ETL pipelines, data warehousing)
• Proficiency in version control systems and collaborative development practices
• Excellent problem-solving skills and ability to work collaboratively
• Excellent communication skills and ability to work effectively in cross-functional teams
• Advanced degree (Master's or PhD) in Computer Science, Machine Learning, or related field
• Experience with AI security and safeguarding models against threats is a plus
• Must be local to San Jose, CA area - this position is on-site only

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI technologies
• Knowledge of MLOps tools and practices (MLflow, Kubeflow, or similar)
• Experience with real-time inference systems and model serving frameworks
• Familiarity with full-stack development, particularly React and Go
• Experience with AI-assisted development tools and code generation
• Background in computer vision, NLP, or other specialized AI domains
• Previous startup or fast-paced environment experience
• Publications or contributions to open-source AI projects

What We Offer

• Competitive salary and equity package with significant upside potential
• Opportunity to work with cutting-edge AI technologies and shape product direction
• Direct collaboration with experienced leadership team from Meta and LinkedIn
• Fast-paced startup environment with rapid career growth opportunities
• Comprehensive benefits package including health, dental, and vision insurance
• Flexible PTO and professional development opportunities
• State-of-the-art equipment and tools to support your work

What We're Looking For

We want someone who is passionate about artificial intelligence and excited about building AI systems that solve real-world problems. You should be comfortable working in a fast-paced startup environment where you'll have the opportunity to make a significant impact on our AI capabilities and company growth. The ideal candidate embraces new technologies, values collaboration, and is eager to push the boundaries of what's possible with AI.

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