Machine Learning Engineer

📋 Description Design and implement ML models for discovery and classification (entity extraction, doc classification) Integrate LLMs and ML models into products and automated workflows Define model training strategies and dataset requirements Build end-to-end ML pipelines (training, inference, evaluation, monitoring) Optimize models and inference for latency, cost, throughput Deploy, operate, monitor, and improve ML systems in production 🎯 Requirements Experience delivering ML models into production and improving them Hands-on NLP and text-based ML systems, incl LLM-assisted workflows Proficiency in Python and ML frameworks such as PyTorch, Hugging Face Transformers, spaCy ML pipelines for training, evaluation, monitoring, deployment, and improvement Design clean, modular, maintainable ML solutions in a collaborative environment Experience collaborating with software engineers, product managers, and business stakeholders 🎁 Benefits Flexible time off, wellness resources, and team events Growth opportunities; Fortune Best Workplaces in Technology and Bay Area awards Check out purebenefits.com for more information