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Senior AI/ML Platform Engineer II - Remote

Posted 9 weeks ago
Software Development
Full Time
USA
$172,000 - $207,900 USD/year

Overview

As a Senior AI/ML Platform Engineer II, you will be responsible for building AI/ML infrastructure from the ground up in a greenfield environment, focusing on data warehouse cost visibility and optimization.

In Short

  • Design and build AI/ML infrastructure for cost anomaly detection.
  • Lay the foundation for ML-driven cost optimizations.
  • Work with Snowflake, Kafka, PyTorch, TensorFlow, Ibis, and Pandas.
  • Collaborate with Product, Engineering, and Design teams.
  • Provide technical leadership in AI/ML strategy.
  • Influence the growth of the AI/ML engineering team.

Requirements

  • Extensive experience in ML infrastructure.
  • Expertise in anomaly detection and predictive analytics.
  • Strong Python skills with proficiency in PyTorch and TensorFlow.
  • Experience with data warehouses and large-scale ML systems.
  • Track record of delivering production-ready ML systems.
  • Ability to thrive in a fully remote environment.

Benefits

  • Unlimited vacation.
  • 401k with 3% guaranteed contribution.
  • Excellent healthcare.
  • Paid Parental Leave.
  • Wellness stipend.
  • Home office stipend.
dbt Labs logo

dbt Labs

dbt Labs, founded in 2016, is dedicated to empowering analysts to create and share organizational knowledge through the practice of analytics engineering. The company has developed the leading tool in this field, with a vibrant community of 100,000 members and 30,000 companies utilizing dbt weekly. dbt Labs is recognized for its innovative approach to analytics, advocating for code-based transformations and open-source software to enhance collaboration and transparency in data analytics. With a strong customer base that includes notable companies like JetBlue and Hubspot, dbt Labs is backed by prominent investors such as Andreessen Horowitz and Sequoia Capital, and is committed to fostering an inclusive and diverse workplace.

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