Sr./staff Machine Learning Engineer - Data

Kodiak Robotics, Inc.

Mountain View, CA, US
Base: competitive (sf/silicon valley location); bo...
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Proficiency in python programming
Experience with apache airflow or metaflow
Building scalable elt pipelines
** Kodiak Robotics, Inc. is seeking a Senior/Staff Machine Learning Engineer focused on data to enhance their autonomous trucking technology. The ideal candidate will have a strong background in machine learning, data pipelines, and team collaboration, with an emphasis on developing scalable AI solutions. **

Job Summary

  • Kodiak Robotics is seeking a Machine Learning Engineer to develop data pipelines that power their autonomous trucking technology stack.
  • The role involves automating pipelines using AirFlow or Metaflow and utilizing labeled signals to stratify datasets for improved model performance.
  • Candidates will benefit from competitive compensation including equity, comprehensive health plans, flexible PTO, and office perks like free catered lunches.

Matching Summary

Match Score: 75

** Kodiak Robotics, Inc. is seeking a Senior/Staff Machine Learning Engineer focused on data to enhance their autonomous trucking technology. The ideal candidate will have a strong background in machine learning, data pipelines, and team collaboration, with an emphasis on developing scalable AI solutions. **

Salary

Base: Competitive (SF/Silicon Valley location); Bonus/Equity: Includes equity and annual bonuses; Benefits: Comprehensive medical, dental, vision, and wellness programs

Skills & Requirements

Must-have

  • Proficiency in Python programming
  • Experience with Apache Airflow or Metaflow
  • Building scalable ELT pipelines
  • Strong SQL and data modeling skills
  • Automated workflow orchestration tools

Nice-to-have

  • Knowledge of LLMs for data mining
  • Collaboration across robotics teams
  • Experience with large-scale data lakes
  • Advocacy for tooling automation
  • Background in autonomous systems

Key Requirements

  • MS or PhD in Computer Science or related field
  • 3+ years of practical experience with ML teams
  • Strong software engineering fundamentals

Work Rights

Not specified

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