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Springer Nature
Springer Nature
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Springer Nature is an international academic publisher and information provider with more than 180 years of experience serving the research, healthcare, education, business, and professional communities. Its publishing portfolio spans science, technology, medicine, business, and education, giving researchers, clinicians, educators, and other professionals access to books, journals, research, and insights. The company publishes Nature and other influential journals, including a substantial body of Open Access content, and operates through a global workforce across offices worldwide.
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Associate or Senior Editor, Machine Learning — Springer Nature, Shanghai Hybrid

Edit machine-learning research for Nature Communications, overseeing manuscript evaluation and peer review. Help shape journal strategy, develop scientific content, and build connections across the research community.

CNChinaHybridFull-timeSeniorEnglish RequiredMachine Learning Engineer

Description

  • Review original research submissions in machine learning and adjacent disciplines.
  • Assess manuscripts for scientific rigor, originality, and fit for publication.
  • Oversee manuscript selection and peer review.
  • Provide timely editorial service in line with journal standards.
  • Maintain and improve publishing workflows and systems.
  • Work with authors and reviewers to uphold a rigorous, transparent review process.
  • Represent Nature Communications in the scientific community and connect with researchers and industry experts.
  • Help refine editorial policies, peer-review practices, and publishing processes.
  • Explain editorial decisions clearly and guide authors and reviewers through review.
  • Develop relationships with internal and external partners while balancing competing priorities.
  • Work with the Chief Editor on journal development and identify opportunities for growth.
  • Encourage strong submissions and commission reviews and special collections.
  • Attend conferences and meet research institutions to raise the journal’s profile.
  • Create scientific and academic content that highlights published research.
  • Share expertise and knowledge with the Nature Portfolio editorial team.

Requirements

  • PhD or equivalent in physics, mathematics, computer science, or a related area such as machine learning, computer vision, neural networks, natural language processing, agentic AI, algorithms, or statistical physics.
  • Machine-learning and computer-science experience is preferred, but not essential.
  • Postdoctoral research experience is preferred, but not essential.
  • Strong grasp of the subject’s fundamentals.
  • Passion for science and engineering, with broad curiosity about scientific research beyond your specialty.
  • Excellent communication and interpersonal abilities.
  • Fluent written and spoken English.
  • Ability to understand research context and implications across different areas of the discipline.
  • Willingness to travel and meet scientists internationally.
  • Editorial experience is not required; substantial editorial experience may support consideration for a Senior Editor role.
  • Application requires a CV, cover letter, preferred office location, and a separate 300–400-word discussion of a recent machine-learning development you find exciting.

Benefits

  • Permanent, full-time employment.
  • Hybrid working arrangement.
  • Accommodations for disability, neurodivergence, and chronic conditions.

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