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    • You’ll investigate the core scientific challenges of AI — such as distributed training, model integrity, incentive design, and privacy-preserving intelligence —…
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    • Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
    • Reports To: Senior Director of Engineering/Chief AI Architect.
    • Employment Type: Full-time, Permanent, Hybrid.
    • Conduct research and develop innovative solutions…
    • Research and develop state-of-the-art image processing algorithms, including but not limited to multi-frame fusion, denoising, deblurring, low-light enhancement…
    • This role is ideal for students eager to gain hands-on experience with modern imaging technologies and AI-based image restoration techniques.
    • Responsible for post-training work related to the speech understanding capabilities of Omni multimodal large models.
    • Architecture Design: Lead the architecture design and implementation of video generation post-training, focusing on high-quality instruction data, preference…
    • Conduct frontier research in large-scale embodied AI models, including data generation, training optimization, and evaluation.
    • Shape our long-term vision: an independent, hybrid AI that combines large language models with a rule-based knowledge system to deliver clear, reliable,…
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    • You are enabled with enough computational resources, and supported by excellent data and engineering teams to realize your vision.
    • To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and…
    • In this role, you will focus on designing and optimizing next-generation AI computing architectures and platforms for LLM, AIGC, distributed AI workloads, and…
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Job Post Details

AI Researcher - job post

Gradient
4.5 out of 5 stars
Singapore•Remote
Full-time
You must create an Indeed account before continuing to the company website to apply

Job details

Job type

  • Full-time

Full job description

Gradient is building the world’s first fully AI runtime—a sovereign, peer-powered infrastructure where intelligence is hosted, served, and owned by the people. The age of Centralized Intelligence is ending. What comes next is open, agentic, and alive at the edge.

We’ve recently completed our $10M seed funding round, led by Pantera Capital and Multicoin Capital, with participation from HSG (formerly Sequoia Capital China) and other distinguished partners. This milestone is further supported by leading angel investors and advisors from spaces across AI, crypto, and beyond.

About the Role

Gradient Network is looking for a Researcher with a strong foundation in machine learning, systems, or cryptography to help reimagine how intelligence is created and shared in world.

You’ll investigate the core scientific challenges of AI — such as distributed training, model integrity, incentive design, and privacy-preserving intelligence — and work alongside engineers to bring these breakthroughs into production.

This role is ideal for someone who thrives in ambiguity, prototypes fast, and wants their work to shape the trajectory of next-gen AI infrastructure.

Responsibilities

  • Conduct original research on learning, distributed inference, and trustless collaboration in AI systems
  • Contribute to the design of incentive mechanisms that support open and community-driven AI networks
  • Prototype experimental systems and communicate findings internally and externally
  • Translate theoretical insights into practical designs with engineering collaborators
  • Engage with the global research community in AI, ML systems, and applied cryptography

Requirements

  • Background in computer science, machine learning, applied mathematics, or a related field
  • Demonstrated research experience in distributed ML, secure computation, federated learning, or incentive systems
  • Ability to write clear technical documentation and communicate complex ideas effectively
  • Bonus: experience with protocols, zero-knowledge proof systems, or system-level AI optimization

If you’re ready to challenge the status quo and be part of a transformative journey, we invite you to apply. Together, let’s build a brighter, more inclusive future powered by intelligence.

We’re excited about the path we’re forging — and the talented minds who will help shape it. If you’re passionate about building a community-driven future for AI and eager to make a lasting impact, we’d love to hear from you.

For recruitment-related inquiries only:

Telegram: @GradientHR

Email: cv@gradient.network

Gradient Official:

Website | X | Discord

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