Springer Nature
Springer Nature
„Springer Nature“ yra tarptautinė akademinė leidykla ir informacijos teikėja, turinti daugiau kaip 180 metų patirties aptarnaujant mokslinių tyrimų, sveikatos priežiūros, švietimo, verslo ir profesines bendruomenes. Jos leidinių portfelis apima mokslą, technologijas, mediciną, verslą ir švietimą, todėl tyrėjai, gydytojai, pedagogai ir kiti specialistai gali naudotis knygomis, žurnalais, moksliniais tyrimais ir įžvalgomis. Įmonė leidžia žurnalą „Nature“ ir kitus reikšmingus žurnalus, įskaitant didelę atvirosios prieigos turinio dalį, ir veikia pasitelkdama visame pasaulyje biuruose dirbančią darbuotojų komandą.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

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

Susiję darbai

LS Retail

Data Engineer at LS Retail (Hybrid, Portugal)

LS Retail

Build Azure data platforms and business intelligence solutions for LS Retail’s Analytics for LS Central product. Develop data pipelines, warehouses, and deployment automation that support retail and hospitality operations.

Atidaryti
TD

Financial Crime Risk Analyst, Sanctions

TD

Support TD Bank’s sanctions screening, investigations, and regulatory compliance work. Analyze risk, strengthen controls, and advise business and financial crime risk management partners.

Atidaryti
T-Mobile

Senior Client Success Manager, T-Mobile for Business

T-Mobile

Manage onboarding, retention, renewals, and account growth for T-Mobile government and enterprise customers. Coordinate across teams to increase customer value and strengthen long-term relationships.

Atidaryti
Swan

KYC Supervisor, French Market

Swan
51 – 200 Darbuotojai
H1B vizos rėmėjasAPIB2BFintech

Lead KYC and KYB reviews for the French market, resolving complex cases and coaching a compliance team. Help Swan scale its embedded banking operations while working within regulated financial services.

Atidaryti
Sphera

Customer Success Manager (Remote, UK)

Sphera

Support Sphera’s environmental, health, safety, and sustainability software customers. Help drive adoption, resolve issues, strengthen retention, report on outcomes, and identify opportunities to expand accounts.

Atidaryti