Data & Ml Pipeline Software Engineer

Applied Intuition

Sunnyvale, California, United States
Base: $125,000 - $222,000 usd annually; equity: op...
On-site
3-5 years software or data infrastructure experience
Proficiency in python and data frameworks like spark airflow kafka
Experience building and scaling distributed data pipelines
Applied Intuition is seeking a Data & ML Pipeline Software Engineer to join their team in Sunnyvale, California. The role focuses on building data systems for autonomous vehicles, requiring expertise in data infrastructure and machine learning

Job Summary

  • The role focuses on building the infrastructure that connects vehicle data collection, training, and automated model improvement for autonomous driving stacks.
  • Employees are expected to primarily work from the office 5 days a week, though some flexibility for remote work is recognized.
  • Compensation includes base salary ranging from $125,000 to $222,000 USD annually, plus equity and comprehensive benefits.

Matching Summary

Match Score: 85

Applied Intuition is seeking a Data & ML Pipeline Software Engineer to join their team in Sunnyvale, California. The role focuses on building data systems for autonomous vehicles, requiring expertise in data infrastructure and machine learning.

Salary

Base: $125,000 - $222,000 USD annually; Equity: Options and/or restricted stock units included; Benefits: Comprehensive health, dental, vision, life, disability, 401k match, stipends, PTO

Skills & Requirements

Must-have

  • 3-5 years software or data infrastructure experience
  • Proficiency in Python and data frameworks like Spark Airflow Kafka
  • Experience building and scaling distributed data pipelines

Nice-to-have

  • Experience with automotive or robotics systems
  • Previous work on ML platforms for large-scale products
  • Ability to move fast learn quickly and mentor others

Key Requirements

  • Bachelor's degree in Engineering (CS, EE, Software Engineering)
  • 3-5 years of experience in software or data infrastructure engineering

Work Rights

Not specified

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