Senior Machine Learning Engineer

5–8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.

Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.

Experience building and evaluating complex agentic or multi-step LLM workflows.

Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.

Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.

Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

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

Machine Learning Engineers at Cresta work across several high-impact AI initiatives.

Lead and build next-generation agentic AI systems that augment contact center agents in real time.

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems.

Agent & System Quality:

Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents.

Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data.