S
45

Senior Applied AI Researcher

3y relevant experience

Not Qualified
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

Dr. This candidate is an accomplished scientist with strong technical skills who has made a recent transition into AI/ML through an MSc program. While they demonstrates research capability with 20 publications and hands-on ML experience, they lacks the specific PhD background and top-tier ML publication record required for this senior research role. their experience is primarily in applied imaging rather than foundational AI research, and there's no evidence of the research-to-production AI systems experience that's central to this position.

Top Strengths

  • 14 years research experience with strong publication record
  • Recent MSc in AI & Data Analysis showing commitment to field transition
  • Hands-on experience with neural networks and computer vision
  • Experience with Docker and scalable solutions
  • Two exceptional performance awards demonstrating high-quality work

Key Concerns

  • !PhD in Chemistry not CS/ML/AI as required
  • !No publications in top-tier ML venues
  • !Limited experience with distributed training and large-scale ML systems
  • !Career primarily focused on microscopy applications rather than core ML research

Culture Fit

65%

Growth Potential

Moderate

Salary Estimate

£60,000-80,000 (below role requirements)

Assessment Reasoning

While Dr. This candidate shows strong potential and has relevant technical skills, they doesn't meet the core requirements for this senior role. The position explicitly requires a PhD in CS/ML/AI (they has Chemistry), publications in top-tier ML venues (their are in chemistry/imaging journals), and 5-8 years of ML research experience (they has ~3 years since transitioning to AI). their background is more suited to a junior or mid-level applied ML role rather than a senior research position requiring deep ML expertise and proven research impact in the field.

Interview Focus Areas

Understanding of modern ML research methodologiesExperience with large-scale distributed trainingAbility to bridge research and production systems

Experience Overview

14y total · 3y relevant

Experienced scientist with strong technical skills and recent AI education, but lacks the specific ML research background and publication record required for this senior role. This candidate is primarily in applied imaging rather than foundational AI research.

Matching Skills

PythonTensorFlowPyTorchdeep learningexperiment design

Skills to Verify

PyTorchdistributed trainingresearch methodologyscientific writingPhD in CS/ML/AItop-tier publications
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