Senior Applied AI Researcher
3y relevant experience
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
Executive Summary
This candidate is an experienced AI/ML engineer with strong practical implementation skills and enterprise deployment experience. However, they lacks the fundamental research qualifications for this senior research role - no PhD, no publication record, and limited pure research experience. While their engineering skills are solid, this position requires deep research expertise, scientific methodology, and academic credentials that they doesn't possess.
Top Strengths
- ✓7 years of AI/ML engineering experience
- ✓Enterprise-scale system deployment
- ✓End-to-end ML pipeline expertise
- ✓Co-founder experience with business acumen
- ✓Strong practical implementation skills
Key Concerns
- !No PhD or research background
- !Zero publication record in research venues
Culture Fit
Growth Potential
Moderate
Salary Estimate
$120K-150K (based on engineering background)
Assessment Reasoning
NOT_FIT decision based on fundamental qualification gaps. The role requires a PhD with 5-8 years research experience and strong publication record in top-tier venues. This candidate has only applied engineering experience without academic research background, publications, or demonstrated research methodology skills. While technically competent in ML implementation, this is a mismatch between an engineering profile and a research scientist requirement.
Interview Focus Areas
Experience Overview
7y total · 3y relevantExperienced AI engineer with strong practical skills but lacks the academic research background and publication record required for this senior research role. More of an applied engineer than a researcher.
Matching Skills
Skills to Verify