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Machine Learning Engineer - Remote

Posted 8 weeks ago
Software Development
Full Time
Worldwide
$180,000 - $214,000/year

Overview

As a Machine Learning Engineer at Corelight, you will help build and deliver machine learning solutions for challenging network security problems, working closely with data scientists and network security experts.

In Short

  • Contribute to all stages of AI/ML projects from exploration to productization.
  • Design and implement scalable ML pipelines for large datasets.
  • Deploy LLMs and fine-tune models.
  • Analyze results and resource consumption using various metrics.
  • Drive adoption of ML development best practices.
  • Collaborate with teams across the organization.
  • Work in an Agile development team.

Requirements

  • 3+ years of experience with large-scale machine learning systems.
  • Experience in DevOps and/or MLOps.
  • Understanding of data preprocessing and machine learning algorithms.
  • Experience in Python and data science libraries.
  • Familiarity with Docker and Kubernetes.
  • Excellent communication skills.
  • Degree in Computer Science or related fields.

Benefits

  • Work with a geographically distributed team.
  • Opportunity to contribute to innovative cybersecurity solutions.
  • Collaborative and inclusive culture.
  • Equity and additional benefits awarded.

J.B

Job Board

Corelight is a leading cybersecurity company that focuses on transforming network and cloud activity into actionable evidence to combat evolving cyber threats. With a strong emphasis on proactive threat hunting and incident response, Corelight offers the fastest-growing Network Detection and Response (NDR) platform in the industry, leveraging both proprietary technology and open-source projects. The company provides solutions for Intrusion Detection, Network Security Monitoring, and Smart PCAP, catering to sensitive large enterprises and government agencies worldwide. Corelight promotes a remote-first work culture, fostering a diverse and connected workforce while driving innovation in cloud infrastructure and security.

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