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65

Senior Applied AI Researcher

5y relevant experience

Under Review
For hiring agencies & HR teams

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

Adrián is a seasoned ML practitioner with 7+ years of experience spanning computer vision, deep learning, and recent LLM work. This candidate has strong technical skills, production experience, and leadership background, having led AI teams at AIMEN. However, they lacks the PhD and publication record typically expected for a senior research position. their practical experience and technical depth could be valuable, but the role specifically requires academic research credentials they doesn't possess.

Top Strengths

  • Extensive hands-on ML/CV experience across multiple industries
  • Leadership experience managing AI teams
  • Strong technical foundation in modern ML frameworks
  • Experience bridging R&D and production environments
  • Recent expansion into LLM and agent technologies

Key Concerns

  • !Lacks PhD and academic research credentials
  • !No publication record in top-tier ML venues

Culture Fit

75%

Growth Potential

High

Salary Estimate

€80,000-€120,000 (adjusted for Spanish market and experience level)

Assessment Reasoning

BORDERLINE decision based on strong technical experience and leadership background, but significant gaps in core requirements. The candidate has excellent practical ML experience and has worked in R&D environments, demonstrating ability to bridge research and production. However, the role specifically requires a PhD (or equivalent research experience) and publication record in top-tier venues, which the candidate lacks. their 7+ years of industry experience could partially compensate, and their recent work with LLMs shows adaptability. The cultural fit appears strong given their R&D background and collaborative approach. This candidate would require careful evaluation of whether practical experience can substitute for academic research credentials.

Interview Focus Areas

Research methodology and experimental design capabilitiesAbility to work independently on long-term research problemsExperience with rigorous scientific evaluationPublications or research contributions

Experience Overview

7y total · 5y relevant

Experienced ML practitioner with strong technical skills and R&D background, but lacks the academic credentials and publication record typically expected for a senior research role.

Matching Skills

PyTorchTensorFlowPythondeep learningresearch methodologyexperiment design

Skills to Verify

PhD degreetop-tier publicationsdistributed trainingscientific writing publications
Candidate information is anonymized. Personal details are hidden for fair evaluation.