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Staff Machine Learning Engineer - Remote

Posted 2 days ago
Software Development
Full Time
USA
$229,500 - $270,000 USD

Overview

Abnormal Security is looking for a Staff Machine Learning Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 17% of the Fortune 1000 (and ever growing).

In Short

  • Serve as a technical leader and subject matter expert in ML.
  • Architect and design generalizable ML systems.
  • Define the architectural vision for the detection engine.
  • Drive the technical roadmap for foundational ML projects.
  • Provide technical mentorship across different workstreams.
  • Own the end-to-end ML lifecycle.
  • Investigate complex model performance issues.
  • Continuously adapt systems to new attacks.

Requirements

  • 8+ years of experience in machine learning applications.
  • Experience with ML at scale and product impact.
  • Strong grasp of deep learning model limitations.
  • Experience in productionizing large-scale ML models.
  • Ability to propose architecturally sound ML solutions.
  • Expertise in the entire ML lifecycle.
  • Fluency in Python and ML frameworks.
  • BS degree in Computer Science or related field.

Benefits

  • Competitive salary.
  • Bonus and stock options.
  • Comprehensive benefits package.
Abnormal logo

Abnormal

Abnormal is a forward-thinking organization that prioritizes its people as its greatest asset. The company is dedicated to building and scaling its workforce through innovative recruiting practices. With a strong emphasis on data-driven decision-making, Abnormal leverages analytics to enhance its recruiting operations, improve strategic planning, and optimize performance metrics. The company fosters collaboration across cross-functional teams to identify opportunities for efficiency and effectiveness in recruitment, ensuring that it meets its business goals while maintaining a high standard of operational excellence.

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