Principal Machine Learning Engineer (Prisma AIRS)

What you'll do

• Develop anomaly-detection pipelines for cloud environments and AI agent actions.
• Lead small language model tuning and data-classification strategies using ML, NLP, and deep learning.
• Partner with product, security, and cloud engineering teams to integrate ML solutions into production.

What they ask for

• MS or PhD in a related field, or equivalent practical experience.
• 8+ years of software engineering industry experience, including at least 3 years in machine learning, NLP, or AI systems.
• Deep Python expertise and hands-on experience with PyTorch or TensorFlow.
• Experience with LLMs/SLMs, prompt engineering, model fine-tuning, and scalable auto-classification or anomaly-detection models.

Nice to have

• Knowledge of cybersecurity and AI safety vulnerabilities; familiarity with DistilBERT and other open-source classification models.
• Familiarity with graph-based datasets and distributed cloud systems (GCP or AWS), including scalable ML inference pipelines.

Pay

$163,200.00 - $264,000.00 USD/year base salary

Tools

Python, PyTorch, TensorFlow, LLMs, SLMs, DistilBERT, GCP, AWS

AI focus

Builds ML security infrastructure, anomaly detection and data classification systems, and tunes SLMs to protect AI models, applications, and agents from threats and adversarial attacks.