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Developer Advocate for Data Science
Machine Learning and Spark
Posted on 2/2/2022
INACTIVE
Locations
Remote • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Analysis
Data Science
Pytorch
Tensorflow
Requirements
  • You are a software developer with subject matter expertise in data sciences and/or data engineering
  • You are a solid communicator with experience writing about, teaching, or speaking about complex technical topics
  • You have launched a developer product and grown a thriving community. Alternatively, you have solid intuition, passion and empathy for technical communities which leads us to believe that you'll excel in doing this at Databricks!
Responsibilities
  • Drive awareness of Data Engineering (Delta Lake), Machine Learning and Deep Learning capabilities (PyTorch, TensorFlow, Spark MLlib, sklearn, Koalas, etc.) and Machine Learning Lifecycle (e.g. MLflow). You'll need to position Databricks as a technical leader by speaking at three to six industry events quarterly
  • Drive overall awareness of Data Engineering, Machine Learning and Deep Learning technologies and lifecycle
  • Grow open source and Databricks meetups + user groups to tens of thousands of attendees
  • Make it simple to contribute to the ML/DL open source projects including MLflow and Koalas
  • Write and deliver online courseware (MOOCs), blog posts, tutorials and videos targeted at data scientists and other data practitioners
  • Build data analyses, machine learning models and other examples on large scale data for demonstration and teaching purposes
  • Use your creativity and imagination to build excitement around data engineering, data science, and machine learning technologies. We encourage new approaches and thought-provoking content
Databricks

1,001-5,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Benefits
  • Extended health care including dental and vision
  • Life/AD&D and disability coverage
  • Equity awards
  • Flexible Vacation
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Paid Parental Leave