Staff Machine Learning Engineer
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Requirements
• 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.
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.
Benefits
• We offer a comprehensive and people-first benefits package to support you at work and in life: • 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 • Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. • The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. • OTE Range: $230,000–$300,000 + Offers Equity • OTE Range
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