Cresta
Senior Machine Learning Engineer
$205K–$270K
United States (Remote) +1 · Remote · Senior · Full-time · Posted May 29, 2025
- Location
- United States (Remote)
US (Remote) - Experience
- 5–8+ years of industry experience.
- Education
- Bachelor’s degree in Computer Science, Mathematics, or a related field.
About the job
Build and lead production-grade LLM-powered agents and machine learning systems for real-time customer experience applications.
What you'll do
- Design, deploy, and optimize AI agents, multi-step workflows, and RAG pipelines.
- Develop evaluation strategies and improve reliability, quality, scalability, latency, security, and cost efficiency.
- Collaborate across teams, mentor engineers, and shape technical strategy and the AI roadmap.
What they ask for
- 5–8+ years of industry experience building and deploying production machine learning systems, including significant LLM experience.
- Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.
- Experience designing and deploying enterprise RAG systems and building and evaluating complex agentic or multi-step LLM workflows.
- Knowledge of modern ML frameworks and tools, distributed/cloud infrastructure, and optimizing real-time ML systems.
Nice to have
- Master’s or Ph.D.
Pay
$205,000–$270,000 USD base salary
Tools
LLMs, RAG, PyTorch, TensorFlow, Hugging Face
AI focus
Build agentic AI systems, LLM-powered workflows, retrieval-augmented generation pipelines, and evaluation methods; improve reasoning, tool use, reliability, and real-time performance.
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