Research Engineer, Reinforcement Learning

Melian; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Melian is seeking a security-minded software professional in New York to design and evaluate ML-informed security workflows. You will leverage Python and hands‑on ML experience, drawing on strong research instincts to run clear experiments and extract learnings.

The role emphasizes ownership, transparent communication, and collaboration within a team building security context. A security background is a plus but not required.

Qualifications

• Bachelor’s degree in computer science or a related field, or equivalent experience.
• Advanced degree is a plus, not a requirement.
• Hands‑on experience training, fine‑tuning or evaluating ML models.
• Research taste: you design clear experiments and learn quickly from the results.
• Ownership, clear communication, and a collaborative approach.
• Background in security is a plus, not a requirement.

Responsibilities

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

Skills

Python

ML model training

Experiment design

Ownership & communication

Education

Bachelor’s degree in computer science or related field

Advanced degree is a plus

Job description

• 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.

What you bring

• 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.

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.