Research Scientist

Melian; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Security-focused tooling

Job summary

Melian in New York City is seeking a research‑minded ML engineer to lead practical experiments and advance security‑focused AI initiatives. You will define and run your own research agenda, collaborate across teams, and translate ideas into tangible tooling.

We value hands-on experience training, fine‑tuning or evaluating ML models, strong Python engineering, and a collaborative communication style. A PhD or equivalent record is highly regarded, with security background a plus.

Qualifications

• PhD in machine learning, CS or related field, or equivalent research record.
• Experience defining and running your own research agenda.
• Strong software engineering, especially in Python.
• Hands-on experience training, fine-tuning or evaluating ML models.
• Research taste: design clear experiments and learn quickly from results.
• Ownership, clear communication, and a collaborative approach.
• Security background 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

Research agenda

Ownership & communication

Security background (plus)

Education

PhD in ML/CS or related field

Tools

Python

Open-source work

Job description

• A PhD in machine learning, computer science or a related field, or an equivalent research record (published papers, open-source work or comparable impact).
• Experience defining and running your own research agenda.
• 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 PhD in machine learning, computer science or a related field, or an equivalent research record (published papers, open-source work or comparable impact).
• Experience defining and running your own research agenda.
• 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.