Senior Machine Learning Engineer

Job Responsibilities

• Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
• Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
• Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
• Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
• Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
• Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
• Optimize ML pipelines and data processing systems to operate efficiently at scale

Qualifications

• Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related field
• 5+ years of hands-on experience building and deploying ML models in production
• Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
• Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
• Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
• Familiarity with evaluation and benchmarking frameworks for ML/LLM models
• Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

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• Invited to private, invite-only hiring events with top startups

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