Principal Machine Learning Engineer (Prisma AIRS)

Location: Santa Clara, California, United States; hybrid with three days per week onsite at Corporate HQ

Salary: $163,200–$264,000 per year

Company

hirify.global develops cybersecurity solutions designed to protect digital environments, including AI models, applications, and agents.

What you will do

• Build scalable anomaly-detection pipelines for cloud environments and AI agent actions.
• Lead tuning and fine-tuning initiatives for small language models optimized for low-latency edge-cloud security tasks.
• Develop machine learning, NLP, and deep learning approaches for classifying structured and unstructured data and identifying complex threat patterns.
• Design and deploy high-performance, distributed ML infrastructure and inference systems.
• Partner with product, security, and cloud engineering teams to integrate ML solutions into production.

Requirements

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• 8+ years of software engineering experience, including at least 3 years focused on machine learning, NLP, or AI systems.
• Deep programming expertise in Python and hands-on experience with PyTorch or TensorFlow.
• Direct experience with LLMs or SLMs, prompt engineering, and model fine-tuning.
• Experience building and scaling auto-classification and anomaly-detection models on massive real-world datasets.
• Experience with distributed cloud systems such as GCP or AWS and scalable ML inference pipelines.

Nice to have

• Knowledge of cybersecurity concepts and AI safety vulnerabilities, including prompt-injection defense, AI red-teaming, and model security.
• Familiarity with DistilBERT and other open-source classification models.
• Experience with large graph-based datasets and processing techniques.

Culture & Benefits

• Hybrid work model with most teams collaborating from the office.
• Employee benefits are available, with compensation potentially including restricted stock units and a bonus.
• Work in a collaborative environment focused on innovation, cybersecurity, inclusion, and solving real-world problems.
• Reasonable accommodations are available for qualified individuals with disabilities or special needs.