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Senior Machine Learning Systems Engineer - Remote

Posted 18 weeks ago
Software Development
Full Time
CA, USA
$190,000 - $235,000/year

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Overview

Sentry is on a mission to help developers write better software faster by building performance and error monitoring tools.

In Short

  • Be our first Machine Learning Systems Engineer.
  • Develop the framework for time-series analysis at scale.
  • Optimize transformer-based embeddings models.
  • Work on high-stakes, high-visibility projects.
  • Build an AI/ML platform at Sentry.
  • Thrive in cross-functional teams.
  • Scale machine learning models for real-world applications.

Requirements

  • 7+ years of experience in machine learning or related field.
  • Proficient in Python.
  • Experience with large scale distributed systems.
  • Familiarity with Apache Spark or Flink.
  • Knowledge of OLAP databases.
  • Experience with PyTorch or Tensorflow.
  • Expertise in deploying ML models at scale.
  • Technical documentation and mentoring experience.
  • Proven track record of owning systems or features.

Benefits

  • Competitive salary range.
  • Eligible for employee benefit plans.
  • Incentive compensation and equity grants.
  • Paid time off.
  • Group health insurance coverage.
Sentry logo

Sentry

Sentry is a technology company focused on helping developers build high-quality and performant applications with confidence. Based in San Francisco and Seattle, Sentry offers a collaborative environment where product designers work closely with product managers and engineers to create unique product experiences. The team is composed of experienced designers from notable companies like Gusto, Square, Spotify, and GitHub, emphasizing a strong understanding of developer workflows. Sentry values open-source contributions and aims to enhance the efficiency of developers globally through thoughtful design and innovative solutions.

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