AI Research Engineer
Gradient · Remote · Work from anywhere
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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- Experience not stated
- Where you can live
- Work from anywhere
- Skills and tools
- python, machine learning
- Job type
- Full-time
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Job details
- Where you can work
- Work from anywhere
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- Experience not stated
- Employer publication date
- 17 June 2025
- First recorded by Psst
- 2 November 2026
- Last checked at the source
- 3 November 2026
About the job
[https://app.ashbyhq.com/api/images/user-content/757c3ef5-0687-4136-a2f9-2f9316fea6f4/4077ce61-7f14-4f8f-ac41-75de8e0dfcda/2791750157249_.pic.jpg]
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
We’re looking for a Research Engineer who’s passionate about shaping the future of AI infrastructure. In this role, you’ll work at the intersection of advanced machine learning models, distributed systems, and on-chain coordination — helping to build a more open, equitable, and resilient intelligence layer for the world.
You’ll join a team of deep technologists exploring how foundation models and intelligent systems can be deployed, trained, and served in environments — while maintaining performance, privacy, and security.
Responsibilities
- Design and implement protocols for AI training and inference (e.g. federated learning, distributed fine-tuning, secure model serving)
- Build scalable systems to support AI workloads across heterogeneous networks and devices
- Contribute to architectural decisions, performance optimization, and reliability engineering
- Collaborate with researchers and system engineers to translate novel ideas into real-world systems
- Stay current with the latest advancements in AI, distributed infrastructure, and cryptographic mechanisms
Requirements
- Strong programming skills in Python, Rust, or Go
- Experience with AI/ML model training and serving pipelines (e.g. PyTorch, JAX, TensorFlow)
- Solid foundation in distributed systems, networking, or applied cryptography
- Familiarity with concepts like federated learning, secure aggregation, or verifiable intelligence
- Bonus: experience working with blockchain protocols, zkML, or decentralized networks
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.
[https://app.ashbyhq.com/api/images/user-content/757c3ef5-0687-4136-a2f9-2f9316fea6f4/428df060-cfe0-484e-b82a-e3e9c68337e6/image.png]
📩 For recruitment-related inquiries only
✈️ Telegram: @GradientHR https://t.me/GradientHR
📧 Email: [email protected]
🔗Gradient Official
Website https://www.gradient.network/ | X https://twitter.com/Gradient_HQ | Discord https://discord.gg/gradientnetwork
- Open over a year (504 days)
- No pay listed
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