Job Description
Are you ready to define the technological landscape of the next decade? 2026 Labs is seeking a visionary Futurist AI Architect to lead our advanced research division. We are building the infrastructure for tomorrow, focusing on Artificial General Intelligence (AGI) and scalable neural architectures. If you have a passion for pushing the boundaries of what is possible and thrive in a high-impact environment, we want to meet you.
Why Join Us?
- Impactful Work: Play a pivotal role in shaping the future of technology and human-machine interaction.
- Cutting-Edge Tech: Work with state-of-the-art GPUs, custom silicon, and bleeding-edge algorithms.
- Competitive Compensation: Comprehensive benefits package including equity, health, and wellness stipends.
- Culture: A collaborative, diverse, and inclusive environment that values innovation and bold thinking.
Responsibilities
- Architect and design the next generation of large-scale AI models and neural network infrastructures.
- Lead research initiatives to bridge the gap between narrow AI and Artificial General Intelligence (AGI).
- Collaborate with cross-functional teams of engineers, ethicists, and product designers to implement responsible AI solutions.
- Define technical roadmaps and standards for data processing, model training, and deployment at scale.
- Mentor and guide a team of top-tier machine learning engineers and researchers.
- Stay ahead of industry trends and academic breakthroughs to ensure 2026 Labs remains at the forefront of innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
- 10+ years of experience in machine learning, deep learning, or AI research, with at least 5 years in a leadership or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and high-performance computing.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or deploying production-grade AI systems.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse audiences.