What are the responsibilities and job description for the Senior Machine Learning Engineer position at HydroX AI?
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.