Job Description
Join the Architects of the 2026 Era.
We are a cutting-edge research lab at the intersection of Artificial General Intelligence (AGI) and advanced robotics. Our mission is to define the technological landscape for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to design the foundational neural architectures and scalable infrastructure required to achieve autonomous reasoning.
If you are passionate about pushing the boundaries of what is possible in machine learning and want to build the systems that will define the future of humanity, we want to meet you.
Responsibilities
- Architect AGI Systems: Design and implement next-generation neural network architectures capable of complex, multi-step reasoning and adaptability.
- Scale Infrastructure: Oversee the deployment of large-scale distributed training environments to support petabyte-scale data processing.
- Pioneering Research: Lead research initiatives focused on reducing inference costs while maximizing model accuracy for real-world applications.
- Model Optimization: Develop and implement techniques for efficient model distillation and quantization to deploy advanced AI on edge devices.
- Technical Leadership: Mentor a team of world-class engineers and researchers, fostering a culture of innovation and excellence.
- Collaborative Innovation: Work closely with product teams to translate theoretical breakthroughs into tangible, user-facing AI solutions.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field with a focus on AI/ML.
- Experience: 7+ years of experience in machine learning, deep learning, or computational neuroscience, with at least 3 years in a senior technical leadership role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing systems (Ray, Kubernetes, or similar) is mandatory.
- Model Mastery: Proven track record of working with Large Language Models (LLMs), Transformers, and Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex, open-ended problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.