Job Description
The Future is Here. Are You Ready for 2026?
Nexus Future Labs is pioneering the The 2026 Protocol, a revolutionary initiative to redefine the boundaries of Artificial General Intelligence (AGI). We are seeking a visionary Senior AI Architect to lead the architectural design of our next-generation neural networks, ensuring our systems are not just smart, but adaptive, ethical, and scalable for the decade ahead.
In this role, you won't just write code; you will blueprint the intelligence of tomorrow. You will work at the intersection of Deep Learning, Quantum Computing integration, and Human-Computer Interaction.
Why Join Us?
- Shape the roadmap for AGI by 2026.
- Work with state-of-the-art hardware and open-source frameworks.
- Competitive equity and a remote-first culture with HQ in the Bay Area.
Your Mission:
To architect robust, high-performance AI models capable of handling complex, multi-modal data streams in real-time environments.
Responsibilities
- Architect Neural Architectures: Design and implement cutting-edge deep learning models, including Transformers and Diffusion models, tailored for the hardware landscape of 2026.
- Performance Optimization: Lead efforts in model quantization, pruning, and edge-computing deployment to ensure sub-millisecond latency.
- Research & Development: Stay at the forefront of AI research, publishing papers and implementing novel techniques like Neuromorphic Computing.
- System Integration: Integrate AI capabilities into Nexus's core products, ensuring seamless interoperability with legacy systems.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ethical AI Governance: Implement safety guidelines and bias mitigation strategies in model training pipelines.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a senior or lead architectural role.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Frameworks: Deep experience with Hugging Face, LangChain, and vector database architectures (e.g., Pinecone, Milvus).
- Leadership: Proven track record of leading cross-functional teams and managing project lifecycles from conception to deployment.
- Innovation: A passion for exploring emerging technologies and a portfolio of published work or open-source contributions.