Applied AI Engineer

• 5+ years of experience applying machine learning, deep learning, or generative AI to cybersecurity or related domains, and/or a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Proven track record of applying machine learning, deep learning, or generative AI techniques and delivering high-quality models and solutions into production environments end-to-end.
• Deep understanding of modern AI agent architectures, agent frameworks, and implementation patterns.
• Experience with LLM supervised fine-tuning (SFT), reinforcement learning, preference optimization, and model distillation.
• Strong understanding of supervised and unsupervised learning, reinforcement learning algorithms, model training, and evaluation on large-scale datasets.
• Experience with domain-specific feature engineering, data labeling, and data quality optimization.
• Strong proficiency in Python programming and experience with deep learning frameworks such as PyTorch.
• Familiarity with databases, large-scale data processing systems, and production ML pipelines.
• Strong communication and technical documentation skills.

• Experience with LLM architecture, model pre-training, inference optimization, and model serving infrastructure.
• Experience with big data streaming pipelines, large-scale analytics, and distributed data processing.
• Prior experience applying AI to cybersecurity domains such as threat detection, anomaly detection, fraud detection, malware classification, network traffic analysis, webpage classification, or security operations.
• Contributions to AI/ML competitions, hackathons, open-source projects, technical blogs, arXiv, or top-tier research publications.

We offer competitive compensation and a comprehensive benefits package designed to support our employees’ health, well-being, and long-term success. The expected salary range for this position is $150,000 – $250,000 per year. Within this range, individual pay is determined based on job-related factors including skills, experience, qualifications, and internal equity. Most candidates can expect an offer within the range listed above. Your recruiter will provide additional details on compensation and benefits to qualified candidates during the hiring process.