ML Research Engineer: Python, Experiments, Security-Plus

Melian

New York (NY)

On-site

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

Melian is seeking a SecOps-minded engineer to join our security-focused team in New York. The role emphasizes hands-on Python software development, ML model training and evaluation, and rigorous experiment design to learn from results. You’ll own tasks, communicate clearly, and collaborate across teams to build robust security capabilities.

A security background is a plus. This position focuses on practical security operations work, designed to empower security teams with better context and

Qualifications

  • A bachelor’s degree in computer science or a related field, or equivalent experience. An advanced degree is a plus, not a requirement.
  • Strong software engineering skills, especially in Python.
  • Hands-on experience training, fine-tuning or evaluating machine-learning models.
  • Research taste: you design clear experiments and learn quickly from the results.
  • Ownership, clear communication, and a collaborative approach.
  • A background in security is a plus, not a requirement.

Responsibilities

  • SecOps as it should be.
  • We’re building the context and capabilities that help security teams do their best work. Bring your judgment, curiosity, and experience.

Skills

Python
Software engineering
Machine learning
Experiment design
Communication
Collaboration
Security awareness

Education

Bachelor’s degree in computer science or related field
Advanced degree a plus

Job description

Melian is seeking a SecOps-minded engineer to join our security-focused team in New York. The role emphasizes hands-on Python software development, ML model training and evaluation, and rigorous experiment design to learn from results. You’ll own tasks, communicate clearly, and collaborate across teams to build robust security capabilities.

A security background is a plus. This position focuses on practical security operations work, designed to empower security teams with better context and

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