As a professional working in AI development, I can attest that this AI screening tool is effective. Saina helped us filter out unqualified candidates by evaluating real skills, such as PyTorch and NLP, instead of relying solely on keyword matching. The use of a structured rubric and evidence-based scorecards meant our senior engineers no longer had to spend time on initial screenings. Ultimately, we were able to reduce what was once a two-week process down to just 48 hours. Review collected by and hosted on G2.com.
While the platform delivers value, there are areas for refinement. For highly specialized ML roles, the AI interview questions could be more rigorous; I occasionally still need to supplement them with custom assessments. I also see room for improvement regarding integration with our internal tools, specifically Greenhouse. Moving candidates between systems creates a manual step, though it’s not a dealbreaker. Additionally, the candidate pool feature shows promise but is still maturing—we haven't found many pre-vetted senior ML engineers there yet, although the screening for our own inbound traffic remains solid. Review collected by and hosted on G2.com.
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