S
78

Senior Applied AI Researcher

6y relevant experience

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

Strong candidate with 6 years of hands-on AI/ML experience and proven ability to take research from concept to production at massive scale. While lacking the formal PhD requirement, demonstrates equivalent practical research experience with publications and advanced degree. Has built and deployed sophisticated AI systems serving billions of users, showing exactly the research-to-production bridge this role requires. Strong cultural fit with collaborative approach and mentoring experience.

Top Strengths

  • Extensive practical AI/ML experience with proven production deployments
  • Strong technical skills in PyTorch, computer vision, and generative AI
  • Research-to-production track record (deepfake detection at massive scale)
  • Published researcher with 4 papers across multiple venues
  • Leadership experience in mentoring and code quality improvement

Key Concerns

  • !Missing formal PhD requirement despite strong practical experience
  • !No publications in top-tier ML venues specified in job requirements

Culture Fit

85%

Growth Potential

High

Salary Estimate

£80-120K based on senior research engineer experience in London market

Assessment Reasoning

Despite not having a formal PhD, this candidate demonstrates equivalent research experience through 6 years of applied AI work, publication record, and most importantly, proven ability to take research from concept to production deployment at massive scale (1.6B users). Their experience with distributed training, generative AI, and research methodology aligns well with role requirements. The practical research-to-production experience is exactly what the role seeks, and their MSc with distinction plus extensive industry research experience provides a strong foundation. Cultural fit appears excellent with mentoring experience and collaborative approach.

Interview Focus Areas

Research methodology and experimental designExperience with large-scale distributed trainingAbility to work independently on research agendaPublication strategy and scientific writingCollaboration with cross-functional teams

Experience Overview

6y total · 6y relevant

Experienced Senior Research Engineer with strong practical AI/ML background and proven ability to deploy research at scale. Has solid publication record and advanced degree, though not at the PhD level specified in requirements.

Matching Skills

PyTorchTensorFlowPythondeep learningdistributed trainingresearch methodologyexperiment design

Skills to Verify

JAXformal PhD requirementtop-tier publication record
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