Engineer I, Data Scientist - New Grad (Hybrid)
Core
Build intelligent systems and machine learning models to analyze security data at massive scale for next-generation security operations.
Role type
New graduate data scientist (GenAI/LLM focus)
Builds
Production-grade AI capabilities, ranking and retrieval systems, and GenAI/LLM projects for cybersecurity products.
Domain
Cybersecurity, AI/ML, Large-scale distributed systems
Deliverable
production ML models
Required skills
Machine learning, statistics, GenAI/LLM application, LLMs and agentic AI, Deep Learning frameworks, Python, SQL, forecasting libraries, feature engineering
Preferred skills
Competitive programming, competitive AI participation, advanced mathematics competitions, AI/cybersecurity publications, significant AI internships
Technologies
Python, Go, S3, PyTorch, scikit-learn, TensorFlow, SQL
Responsibilities
Develop, test, and deploy models impacting products; deploy ML techniques for accurate models; solve complex technical problems with ownership; apply AI to improve product capabilities; develop automated tests; participate in architecture and code reviews; work on GenAI/LLM projects including fine-tuning and embedding-based search; write production-ready code for real-time decision making; research and develop through iteration.
Seniority
Entry-level (New Grad)
