ML Engineer (MSc. or PhD) - Remote

Job Description: Model-Based Systems Engineering (MBSE) Specialist

Role Type: Contractor

Location: Remote

About the Role

We are seeking experienced Model-Based Systems Engineering (MBSE) professionals with expertise in SysML v1 and exposure to SysML v2, or demonstrated hands-on experience with SysML v2 modeling, to support an AI training and evaluation project.

In this role, you will apply your systems engineering expertise to develop reference models, evaluate AI-generated SysML v2 outputs, and establish standards for technical accuracy, consistency, and model quality.

You will use suitable SysML modeling tools and graphical or textual modeling approaches to create, review, and validate system models. Your work will help assess how effectively AI systems interpret engineering requirements, represent complex system architectures, and produce accurate, traceable models.

Key Responsibilities

• Interpret and translate engineering requirements into accurate SysML v2 models, ensuring model fidelity and traceability.
• Develop reference solutions and exemplar system architectures for AI evaluation tasks.
• Use appropriate systems modeling tools to create, review, and validate SysML v2 models.
• Create, refine, and document evaluation rubrics to assess AI-generated models for quality and correctness.
• Review and evaluate SysML v2 models, providing structured feedback on technical accuracy and modeling best practices.
• Analyze engineering requirements, Concepts of Operations (ConOps), Interface Control Documents (ICDs), and architectural specifications.
• Collaborate through written and verbal communication to clarify deliverables and resolve technical challenges.

Required Qualifications

• Professional experience in systems engineering, with hands-on expertise in SysML v1 and exposure to SysML v2, or demonstrated experience in SysML v2 modeling.
• Ability to interpret engineering requirements and translate them into technically accurate system models.
• Strong understanding of Model-Based Systems Engineering (MBSE) principles, requirements traceability, and system architecture.
• Experience using systems modeling tools and applying MBSE methodologies in engineering projects.

Preferred Qualifications

• Strong knowledge of requirements engineering, system architecture, interface control, and model traceability.
• Experience with MBSE tools such as Cameo Systems Modeler, MagicDraw, or other compatible applications.
• Familiarity with SysML v2 modeling environments, including graphical and textual approaches.
• Experience working with ConOps, ICDs, and other foundational systems engineering documents.
• Strong technical writing and communication skills, particularly in remote and asynchronous environments.
• Experience in complex engineering domains such as aerospace, space, defense, automotive, maritime, or communications.
• Familiarity with model verification, technical reviews, evaluation rubric development, or model quality assessment.
• Exposure to AI, machine learning, or data-driven engineering projects.