Job Description
We are looking for an experienced Machine Learning Engineer who cares about impact, ownership, cross-functional projects, and mentorship.
This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Please note - remote candidates must be physically located within the United States.
Responsibilities
Be part of a team of innovative ML engineers working on core pieces of our ML and AI modelsTrain and evaluate machine learning models for search, recommendation, and clinical decision supportWrite production code to integrate ML models into our serving infrastructureCreate data systems to collect, clean, label, and store data used for featuresWork with product and clinical on requirements and solutions for ML and AI solutionsWork alongside data scientists to analyze online experiments and incorporate actionable insights into Lyra’s modeling approaches. Qualifications
4+ years of industry experienceExpertise in machine learningAbility to write high-quality production code in PythonExperience delivering production-level machine learning models in an online settingStrong communication skills and ability to generate consensus and buy-in within the teamA track record of making high return-on-investment decisions in fast-paced environments
Preferred Qualifications
Experience using KubernetesExperience with a JVM coding language (especially Kotlin)Knowledge of Bayesian statistics or causal inferenceExperience delivering production LLM-based applications a plusExperience working with highly sensitive data in a healthcare environment
