ML Systems Engineer, Inference

Melian; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Melian seeks a versatile engineer to fortify SecOps through ML-driven tooling and secure ML workflows. The role emphasizes hands-on model training, evaluation, and rigorous experimentation to strengthen security posture.

Ideal candidates bring a CS background, strong Python skills, collaboration, and clear communication. A security background is a plus, and the team values curiosity and judgment in securing systems.

Qualifications

• Bachelor’s degree in computer science or a related field, or equivalent experience.
• 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

• Design and run experiments to evaluate ML models in SecOps contexts.
• Collaborate with security and engineering teams to implement secure ML workflows.
• Communicate findings clearly to technical and non-technical stakeholders.
• Own components of ML security tooling and monitoring.

Skills

Python

Software engineering

Machine learning

Experiment design

Communication

Ownership

Security background

Education

Bachelor’s degree in computer science or related field

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.