Sr. AI/ML Infrastructure Engineer

August 13

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Lyra Health

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Transforming behavioral health through technology with a human touch

Behavioral health • mental health • digital health

501 - 1000

💰 $235M Series F on 2022-01

Description

• Be part of a team working on building out scalable infrastructure to train, evaluate, deploy, perform inference and monitor our ML models • Build, deploy and maintain generative AI services & applications • Create data systems to collect, clean, label and store data used for model features • Deploy and manage various applications in our Kubernetes clusters • Collaborate with Machine Learning engineers to build & support state of the art experimentation platforms, training frameworks and associated tools • Work with stakeholders on requirements and solutions for ML infrastructure • And of course, you will be coding every day!

Requirements

• 5+ years of industry experience building production level ML platforms and infrastructure, including experience building ML systems/pipelines from the ground-up. • Ability to write high-quality code in Python, Java or Scala • Experience building production ready RESTful APIs, as well as having scaled platforms in production to a large number of users. • A desire to own large parts of an ML Platform, with a strong understanding of ML models & principles. • Experience working with containers and deploying applications to Kubernetes • Experience with LLMs and building infrastructure to support LLM applications • Experience with relational and low-latency databases • Experience with transforming data in both batch and streaming contexts • A desire to learn new technologies quickly, and a proven track record of making quality vs. deadline tradeoffs in fast-paced environments. • Ability to scope out a large project and manage it through project delivery • Strong communication skills and ability to generate consensus and buy-in within the team • Organizational skills and the ability to simplify complex problems and prioritize what matters most for the sake of the team and the business