Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “United States (Remote); US (Remote)”
Apply on Cresta's site ↗
Opens the employer's official application page.
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About this role
Cresta is hiring for a Staff Machine Learning Engineer role (full-time). See the official posting for full details.
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.
Summarized from the employer's posting — check the full posting for every requirement.
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