Senior Applied AI Researcher
10y 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
Exceptional candidate with PhD and 10+ years of applied AI research experience, demonstrating strong technical depth and proven ability to deploy ML systems at scale. Has co-patents, startup experience, and deep expertise in computer vision and multi-modal AI. While lacking traditional academic publications, brings valuable industry research perspective and proven track record of translating research into production impact. Strong cultural fit for research-to-production role with high growth potential.
Top Strengths
- ✓PhD in Signal & Images with 10+ years applied research experience
- ✓Proven track record of taking research from concept to production at scale (3000+ devices globally)
- ✓Strong multi-modal AI expertise including recent VLM development for food waste
- ✓Patent holder and co-founder experience demonstrating innovation and leadership
- ✓Deep technical expertise in PyTorch, TensorFlow, computer vision, and edge deployment
Key Concerns
- !Limited academic publication record in top-tier ML venues
- !Primarily industry-focused research rather than academic research
Culture Fit
Growth Potential
High
Salary Estimate
$180K-$220K base + equity (senior level with PhD and startup experience)
Assessment Reasoning
Strong FIT decision based on: 1) PhD qualification with 10+ years relevant research experience exceeding the 5-8 year requirement, 2) Deep technical expertise in required skills (PyTorch, TensorFlow, deep learning, computer vision), 3) Proven track record of research-to-production deployment at scale (3000+ devices), 4) Patent holder and startup co-founder demonstrating innovation and self-direction, 5) Recent work on cutting-edge VLM development showing current relevance. While lacking traditional academic publications, the candidate's industry research experience, technical depth, and production deployment success strongly align with the applied research role requirements.
Interview Focus Areas
Experience Overview
10y total · 10y relevantHighly experienced research scientist with PhD and 10+ years in applied AI/ML, demonstrating strong technical depth in computer vision, deep learning, and production ML systems. Has co-founded startups and led cross-functional research initiatives with proven track record of deploying models at scale.
Matching Skills
Skills to Verify