Cresta
Staff Machine Learning Engineer
$230K–$300K
United States (Remote) +1 · Remote · Staff · Full-time · Posted Mar 1, 2026
- Location
- United States (Remote)
US (Remote) - Experience
- 7+ years.
- Education
- Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. strongly preferred.
About the job
Leads the design and production deployment of scalable agentic AI and LLM systems for customer-service agents and enterprise insights.
What you'll do
- Define technical direction and architect production-grade LLM agents, retrieval, planning, tool use, and multi-agent workflows.
- Own evaluation strategy and improve system quality, reliability, cost efficiency, and performance by identifying and mitigating failure modes.
- Influence cross-team architecture and mentor engineers while translating AI research into production systems.
What they ask for
- 7+ years of experience building and deploying production machine learning systems, including deep hands-on experience with LLMs at scale.
- Demonstrated leadership architecting complex AI systems, particularly agentic or multi-step LLM workflows.
- Expertise in transformer-based models, embeddings, retrieval systems, and RAG pipelines; experience evaluating LLM systems beyond single-turn prompts.
- Experience with modern ML frameworks and distributed or cloud-based infrastructure; ability to influence technical direction across teams.
Nice to have
- Master’s or Ph.D.
Pay
$230,000–$300,000 USD total pay (OTE); equity offered
Tools
LLMs, RAG, PyTorch, TensorFlow, Hugging Face
AI focus
Builds agentic AI, LLM-powered customer-service systems, enterprise retrieval and insight pipelines, and evaluation methods to improve reliability and quality.
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