Senior Applied AI Researcher
7y 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
Strong candidate with PhD and 7+ years of research experience spanning multiple AI domains. Demonstrates rare combination of academic rigor and production deployment experience, with quantifiable business impact. Publications in high-impact journals show research capability, though conference publications at top-tier ML venues would strengthen profile. Experience at Dinovaux AI shows ability to bridge research-production gap, a key requirement for this role. Strong technical foundation with room for growth in conference publications and JAX framework.
Top Strengths
- ✓PhD with 7+ years research experience meeting experience requirements
- ✓Strong publication record in high-impact journals (IEEE IoT, Information Sciences)
- ✓Proven research-to-production experience with quantifiable business impact
- ✓Multi-domain expertise across NLP, RL, and predictive ML
- ✓Experience with distributed training and model optimization
Key Concerns
- !Publications primarily in journals rather than top-tier ML conferences (NeurIPS, ICML, ICLR)
- !Limited mention of JAX experience
Culture Fit
Growth Potential
High
Salary Estimate
£90,000-£130,000 based on PhD + 7 years experience in London
Assessment Reasoning
FIT decision based on meeting core requirements: PhD with 7+ years research experience, strong publication record (though primarily journals vs conferences), proven PyTorch/TensorFlow expertise, demonstrated ability to take research from concept to production with measurable impact, and experience working across multiple AI domains. The candidate's research-to-production experience at Dinovaux AI particularly aligns with the role's emphasis on bridging academic research and deployed systems. While some publications are in journals rather than top-tier conferences, the overall research trajectory and practical application experience make this a strong fit.
Interview Focus Areas
Experience Overview
7y total · 7y relevantPhD-qualified candidate with 7+ years of research experience spanning NLP, deep learning, and reinforcement learning. Strong technical background with proven ability to translate research into production systems, evidenced by quantifiable improvements in chatbots, QA systems, and optimization algorithms.
Matching Skills
Skills to Verify