[Remote] Staff Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Cresta is a company focused on transforming customer experiences through AI technology. The Staff Machine Learning Engineer will lead high-impact AI initiatives, focusing on building next-generation agentic AI systems and improving the reliability and performance of LLM-powered agents.

Responsibilities

• Define and lead the technical vision for Cresta’s next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents
• Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows
• Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions
• Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments
• Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis
• Proactively identify and mitigate agent failure modes such as hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning breakdowns
• Define measurable quality standards (accuracy, faithfulness, task completion, latency, cost efficiency, robustness) and drive continuous system improvement
• Influence cross-team architecture decisions across ML, backend, and product engineering to ensure seamless integration of AI capabilities
• Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and roadmap planning
• Translate cutting-edge research advances into practical, high-impact production systems

Skills

• Bachelor's degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. strongly preferred
• 7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale
• Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows
• Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines
• Experience designing evaluation frameworks for LLM systems beyond single-turn prompts, including robustness testing and production monitoring
• Strong systems thinking: ability to design for scalability, latency constraints, cost efficiency, security, and long-term maintainability
• Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure
• Proven ability to influence technical direction across teams as a senior individual contributor
• A strong bias toward action — able to prototype rapidly while maintaining production rigor

Benefits

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees
• Equity

Company Overview

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