Full-Time

Senior Data Platform Engineer

Weight & Biases

Weight & Biases

201-500 employees

Developer MLOps & visualization platform

Data & Analytics

Senior

San Francisco, CA, USA

Required Skills
Airflow
Data Science
Requirements
  • Deep experience (practical and theoretical) with Data Engineering and the accompanying workflows.
  • History of writing easy-to-follow code and effective documentation for your projects.
  • Expert knowledge of data orchestration / data pipeline tools (dbt, dagster, airflow, etc).
  • Strong skills of working with a real data warehouse utilized daily.
  • Expert knowledge and understanding of web apps and best practices for logging and event instrumentation.
  • Theoretical or practical knowledge of machine learning workflows and terminology.
  • Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge.
Responsibilities
  • Collaborate across the business to create observability into our business and product to inform strategy and build collective understanding of our business and product.
  • Pair directly with our Core Engineers to expand our telemetry and capture the crucial data necessary for our data science initiatives.
  • Help set the bar of technical excellence, rigorous thinking, and collaboration across the Data Science and Engineering team.

Weight & Biases’ mission is to build the best tool for machine learning with their advanced platform that allows models to be built faster with experiment tracking, dataset versioning, and model management. The company is committed to helping machine learning developers in a variety of use cases with their tools that easily integrate and give metrics and visualizations.

Company Stage

Series C

Total Funding

$250M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

1%

1 year growth

3%

2 year growth

66%

Benefits

🏝️ Unlimited vacation time

🩺 100% Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 $1000 home office budget with new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave

📈 401(k)