Machine Learning Engineer II
Core
Full-stack data scientist and ML engineer building AI-first systems (LLMs, agents) for Insider Risk Management, handling data pipelines, model training, and production deployment.
Role type
Senior IC machine learning engineer (AI/LLM focus)
Builds
Production ML models, data pipelines, and AI services for Insider Risk Management
Domain
Cybersecurity / Insider Risk Management
Deliverable
production ML models
Required skills
Python, C++, Java, Kotlin, PyTorch, NLTK, Spacy, OpenCV, Tesseract, Huggingface, AWS (ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, Redshift), Langchain, Llamaindex, n8n, springAI, linear algebra, stochastic optimization, probability theory, statistical inference, time series analysis, anomaly detection, classification, regression, infrastructure-as-code, version control
Preferred skills
None stated
Technologies
PyTorch, NLTK, Spacy, OpenCV, Tesseract, Huggingface, Langchain, Llamaindex, n8n, springAI, AWS ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, Redshift
Responsibilities
Research, design, develop, and maintain state-of-the-art machine learning models; Train, evaluate, and fine-tune models; Design and implement robust, end-to-end data and ML pipelines; Productionize and deploy ML models; Monitor deployed models for efficacy, throughput, and latency; Mentor and guide junior team members; Collaborate with diverse teams to develop customer-facing predictive models
Seniority
Senior, hands-on IC