The RealReal

The RealReal


Machine Learning Engineering Manager

In this role as our Machine Learning Engineering Manager your work will directly impact all areas of the business through the use of computer vision, machine learning and big data tools. You will work closely with multiple data science teams & outside engineering teams in prioritizing experiments as well as designing / implementing the backend tooling around the model. This is a people management role where machine learning engineers will rely on you for mentorship and growth. You will be responsible for managing the performance and career development of your team.

What You Get To Do Every Day

  • Lead team of 5-10 machine learning engineers to design models and services of the highest quality that meet business objects
  • Participate in research and experimentation of machine learning and big data solutions
  • Review pull requests and model design to provide constructive feedback
  • Hire, Coach, provide technical guidance to, and mentor team members
  • Clearly communicate with product management and the larger business about our technical solves in simple, easy to understand language
  • Influence business solutions using machine learning knowledge
  • Work with leadership to define the machine learning roadmap

What You Bring To The Role

  • 5+ years’ experience in a data role
  • 2+ years of experience managing a development, data engineering or data science teams
  • 4+ years’ experience building ML models and putting into production
  • Experience working with product management to align on objectives and risks
  • Fluency with Python
  • High degree of familiarity with: Sklearn, TensorFlow/Keras or similar
  • Experiences with deep learning approaches
  • Understanding of some big data tools (Kafka, Big Query, Beam, Spark, Lambdas)
  • Quantitative Degree
  • Experience designing solution in the cloud (AWS, Azure, GCP)
  • Mastery of git and Github workflows