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Location
In office (Shanghai)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. DNV scores B on the Alion truth index.

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DNV

DNV is an independent assurance and risk management firm and classification society headquartered in Høvik, near Oslo in Norway, serving the maritime, energy, renewables and healthcare sectors. Formed in 1864 as Det Norske Veritas and owned by a foundation, it employs about 15,000 people in over 100 countries, classifying ships, certifying management systems and advising on oil and gas, power grids and offshore wind. It hires engineers, surveyors, approval engineers, process safety experts, energy market analysts and project managers, along with interns, trainees and business support staff.

DNV Group Research and Development (GRD) performs strategic and applied research for DNV, focusing on knowledge development through collaborations with academia and industry, providing thought leadership through external publications and forecasts, and creating scientific legitimacy for DNV services.

A major focus for GRD is shaping the future of AI assurance. The AI Assurance research program focuses on both developing AI for assurance and assurance of AI, building expertise across AI, digital transformation, risk, and assurance science. The program is organized into several teams across multiple locations.

DNV is seeking a motivated and collaborative AI Researcher to join our AI Research Center in Shanghai. You will explore emerging AI technologies, develop innovative solutions, and help bridge advanced research with real-world industrial applications.

We are looking for someone who is curious, self-driven, hands-on, and enjoys working in a team environment. You should be comfortable handling open-ended research challenges and turning ideas into practical outcomes.

Key Responsibilities

AI Research & Innovation

  • Research and develop solutions in areas such as Generative AI, LLMs, AI Agents, Multimodal AI, VLMs, Machine Learning, and Trustworthy AI.
  • Explore new technologies and identify research opportunities relevant to DNV.
  • Build prototypes, conduct experiments, and validate new ideas.
  • Independently drive research activities from concept to demonstration.

Collaboration & Teamwork

  • Work closely with researchers, engineers, domain experts, and business stakeholders.
  • Share knowledge, research findings, and best practices across the team.
  • Support and mentor junior researchers, interns, and students.
  • Contribute to a collaborative and innovative research culture.

Industrial Impact

  • Translate real-world industry challenges into AI research topics.
  • Develop AI solutions for domains such as energy, maritime, and digital assurance.
  • Communicate research outcomes to both technical and non-technical audiences.

External Collaboration

  • Collaborate with universities, research institutes, technology partners, and industry organizations.
  • Contribute to research proposals, publications, conferences, and technical communities.
  • Support DNV’s AI research strategy and thought leadership.
  • An organization recognized as 2025 Best Employer and Best Social Enterprise in China.
  • Flexible Working Arrangements for better work-life balance.
  • Comprehensive Paid Leaves (Annual leave policy, sick leave policy).
  • Medical & Wellness Benefits - Annual Health Check-up, Cloud Consultation Room of Internet Hospital.
  • Pension and Insurance Policies -Supplementary Pension, Supplementary Medical Insurance.
  • Training and Development Assistance -Training Sponsorship, On-The-Job Training, Digital Learning Program.
  • Additional Benefits -Long Service Awards, Lunch Benefit, Festival Benefit.
  • Profit Share/ Chinese New Year Red Packet.

*Benefits may vary depending on role, employment type, tenure, or grade level. *

  • PhD or Master in Artificial Intelligence, Computer Science, Machine Learning, Data Science, or a related field.
  • 3+ years of experience in AI research or advanced AI development.
  • Strong knowledge of modern AI and machine learning technologies.
  • Experience in one or more of the following:
  • Generative AI and LLMs
  • AI Agents
  • Multimodal AI and VLMs
  • RAG and knowledge-based AI systems
  • Foundation Models
  • AI Evaluation and Trustworthy AI
  • Robotics, Embodied AI, or Autonomous Systems
  • Strong Python programming and prototyping skills.
  • Ability to independently conduct research and communicate results.
  • Good written and spoken English.
  • Self-motivated and proactive.
  • Team-oriented and collaborative.
  • Comfortable with ambiguity and open-ended research challenges.
  • Hands-on, with a passion for building and experimenting.
  • Accountable, taking ownership of ideas and outcomes.
  • Generous with knowledge, helping others learn and grow.

    Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

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