Running design evaluations through AutoReview, analyzing results, and classifying output quality
Identifying gaps in model performance and communicating them clearly to ML and product teams
Collaborating with internal experts to triangulate insights and evolve internal systems
Supporting prompt tuning and testing to improve how we communicate with LLMs
Providing ongoing feedback that helps us train AutoReview on the kinds of issues real engineers care about
Acting as a domain expert to help CoLab better understand the real-world context behind the data.
Requirements
3-6 years in mechanical engineering with recent hands-on experience in the design lifecycle
Deep understanding design review workflows within engineering organizations
Experience working with or for a design firm or engineering consultancy
Ability to interpret and clearly explain model outputs from a mechanical design perspective, applying commonly used standards and guidelines such as ASME, ASTM, and related industry standards.
Strong analytical skills and comfort working with large volumes of data
Direct experience bringing component, parts and assemblies to production, working through multiple DFM/DFA cycles
Experience designing in a primary CAD tool alongside PDM/PLM
Familiarity with prompt engineering or LLM workflows (Nice-to-Haves)
Experience with applied ML/AI tools in a product or research context (Nice-to-Haves)
Exposure to design automation or digital engineering systems (Nice-to-Haves)
Benefits
extended health and benefits package
unlimited paid vacation
RRSP matching
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
mechanical engineeringdesign lifecycledesign review workflowsmodel outputs interpretationDFMDFACADPDMPLMapplied ML