Senior Machine Learning Engineer, Relevance

📋 Description

• Work with large scale structured and unstructured data, build and continuously improve cutting edge
• Work collaboratively with cross-functional partners including software engineers, product managers
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale
• Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable
• Example projects include: feature platform, model interpretability, hyperparameter optimization

🎯 Requirements

• 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow
• Industry experience building end-to-end Machine Learning infrastructure and/or building and
• Exposure to architectural patterns of a large, high-scale software applications (e.g.

🎁 Benefits

• May be eligible for bonus, equity, benefits, and Employee Travel Credits.