Machine Learning Engineer
Core
Design, build, evaluate, and deploy advanced machine learning systems for safety, security, and intelligence applications across text, image, audio, and multimodal domains.
Role type
Senior Machine Learning Engineer (Safety & Security)
Builds
Production-ready ML systems, evaluation pipelines, agentic workflows, and red teaming tools for frontier AI labs and technology platforms.
Domain
AI Safety, Threat Intelligence, Multimodal Systems
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Computer Vision, Natural Language Processing, MLOps, Cloud Platforms (GCP/AWS/Azure), Model Evaluation & Benchmarking
Preferred skills
Model Distillation, Synthetic Data Generation, Reinforcement Learning, Frontier LLMs, AI Safety Evaluations, Cybersecurity, RAG, AI Agent Frameworks
Technologies
Docker, Kubernetes, CI/CD, MLflow, LangChain, LlamaIndex, OpenAI Agents, AutoGen
Responsibilities
Design, train, evaluate, and deploy ML models across multiple modalities; Develop classification systems for safety and abuse detection; Conduct experiments to benchmark and compare AI models; Contribute to model optimization and fine-tuning; Design evaluation pipelines and testing frameworks; Build agentic systems and automated workflows; Own ML projects from prototyping to production deployment; Partner with software engineers to productionize systems.
Seniority
Mid-Senior, hands-on IC
