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Senior Machine Learning Engineer - Remote

Posted 23 hours ago
Software Development
Full Time
USA
$180,000 - $210,000/year

Overview

Andesite is looking for a strong Senior Machine Learning Engineer who has a proven track record of delivering AI/ML products at scale. Join a diverse team dedicated to transforming cybersecurity through innovative technology.

In Short

  • Design, develop, and deploy Agentic AI solutions.
  • Manage AI/ML infrastructure and lifecycle.
  • Collaborate within a cross-functional team.
  • Keep pace with research in machine learning and cybersecurity.
  • Passion for data quality and model performance.
  • 5+ years of experience in software engineering.
  • Proficient in programming languages like Python, Java, or Scala.
  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Competitive salary and benefits package.

Requirements

  • Masters/PhD in computer science, statistics, mathematics, or related field.
  • 5+ years of experience in AI/ML product delivery.
  • Proficiency in programming languages (Python, Java, Scala).
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud services (AWS, Azure, GCP).
  • Passion for data quality and observability.

Benefits

  • 100% employer-paid health insurance.
  • Unlimited PTO with manager’s approval.
  • Flexible work environment.
  • Remote-first working conditions.
  • 14 weeks of fully-paid parental leave.
  • Equity package as part of compensation.

Andesite

Andesite

Andesite is a cybersecurity company founded by a diverse team of experts with extensive backgrounds in national security, technology, and data organizations. With a mission to revolutionize the collaboration between humans and AI in defending against sophisticated cyber threats, Andesite focuses on developing innovative security products. The company has successfully raised over $38 million from notable investors and emphasizes the importance of reimagining cybersecurity through effective human-machine interaction. They are committed to building a strong team and fostering an inclusive work environment.

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