Our client, a Internet Content & Information company, is looking for a Mechanical Engineer for their Seattle, WA/ New York, NY/Remote location.
Responsibilities:
Validate AI Workflows: Evaluate the feasibility, manufacturability, and practical utility of AI-generated mechanical designs, components, and simulations.
Define Tasks & Benchmarks: Help design, collect, and validate the specific engineering tasks, edge cases, and evaluation metrics (validators) that our AI models need to master.
Provide Domain Expertise: Operate comfortably across a wide range of mechanical engineering sub-disciplines, applying generalist knowledge in CAD/CAM, thermodynamics, fluid mechanics, and structural analysis to assess model performance.
Collaborate Cross-Functionally: Partner directly with AI researchers and cross-functional stakeholders to translate complex mechanical constraints into clear, actionable feedback for model training.
Ensure Compliance: Ensure all evaluated deliverables and AI-generated outputs follow applicable engineering standards, safety requirements, and documented processes.
Requirements:
Power-user proficiency with industry-standard CAD and simulation tools (e.g., SolidWorks, Siemens NX, FreeCAD, Autodesk Inventor, CATIA, or Ansys).
Experience working in cross-functional environments and communicating technical engineering information clearly to non-domain audiences (e.g., software engineers, AI scientists).
Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
Basic scripting skills (e.g., Python, MATLAB) to help parse data or interface with AI environments. (Note: Advanced software engineering or machine learning expertise is not required).
Bachelor's degree in Mechanical Engineering or related engineering field, or equivalent practical experience.
3-5+ years of practical, post-graduation mechanical engineering experience