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ClioPosted 1 month ago

Manager, Machine Learning Engineer (US)

$208,000–$312,000 year

RemoteUnited States

Full TimeMedium

Job Summary

Lead a team of six ML engineers to deliver state-of-the-art AI solutions, including agentic systems, retrieval, and tool use, grounded in customer data. Guide the team in designing and shipping these systems while establishing evaluation frameworks for reliability and safety. Collaborate cross-functionally with MLOps, product, and data science to identify new tooling for ML and LLM-driven features. Work in an agile environment across distributed teams in three countries, providing code review and constructive feedback to foster growth. Diagnose complex technical problems and build solutions spanning multiple areas. Participate in diverse projects that challenge you to hone your craft as an ML and infrastructure expert.

Required Qualifications

  • Experience in managing high performing teams (6+ ML Engineers)
  • Experience with technical evaluations of various ML and LLM products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary
  • In-depth understanding of LLMs, GenAI, and the competitive landscape, including where the technology is heading
  • Hands-on familiarity with building agentic systems, such as tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behavior at scale
  • Experience in fine-tuning foundational models and/or training language models in-house
  • Experience to manipulate, clean, and pre-process complex unstructured data for model development
  • The ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment that includes distributed teams and customers
  • Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products
  • A diverse base of knowledge that allows you to help your team solve complex technical problems
  • A history of past projects (including notable successes and lessons learned)
  • Clear and concise communication skills and the ability to build high-trust relationships with fellow Clions and customers

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