Machine Learning Engineer

About this role

10a Labs seeks an experienced Machine Learning Engineer to design, build, and deploy ML systems for AI safety, security, and threat intelligence applications. You'll work across the full ML lifecycle—from dataset development through production deployment—on projects involving multimodal classification, model evaluation, and agentic workflows, collaborating with researchers and engineers to support leading AI organizations.

What you'll do

• Design, train, evaluate, and deploy ML models across text, image, audio, and multimodal domains
• Develop and improve classification systems for safety, security, abuse detection, and intelligence applications
• Conduct experiments to benchmark and compare AI models, including large language models and multimodal systems
• Contribute to model distillation, optimization, and fine-tuning efforts to improve deployability
• Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities and safety
• Build agentic systems and automated workflows for evaluation, red teaming, and large-scale experimentation

What they're looking for

• Python and modern ML frameworks (PyTorch, TensorFlow)
• Computer Vision (image classification, object detection, multimodal vision-language systems)
• Natural Language Processing (LLMs, text classification, agentic applications)
• Model training, fine-tuning, evaluation, and production deployment
• MLOps tools and practices (Docker, Kubernetes, CI/CD, MLflow)
• Cloud platforms (GCP preferred, AWS, or Azure)
• Model distillation, synthetic data generation, or reinforcement learning
• Frontier language models and AI safety evaluations

Benefits

• Salary range: $130K–$200K depending on experience and location
• Performance-based annual bonus