Senior Machine Learning Engineer

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.