Job Description
Are you ready to define the trajectory of Artificial General Intelligence by 2026? Nexus Future Labs is seeking a visionary AI Research Scientist to lead our groundbreaking initiatives in Artificial General Intelligence (AGI) and Neuromorphic Computing. We are not just building models; we are architecting the future of human-machine interaction.
In this role, you will bridge the gap between theoretical neuroscience and cutting-edge deep learning, ensuring our systems are not just smart, but adaptable and aligned with human values. Join a team of elite engineers and data scientists committed to solving the world's most complex problems by 2026.
Why Join Us?
- Work on projects that define the industry standard for the next decade.
- Competitive equity and salary packages.
- Access to state-of-the-art compute resources and proprietary datasets.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Lead the strategic research agenda for the 2026 AGI roadmap, defining key milestones and technical deliverables.
- Design and implement novel neural network architectures capable of emergent reasoning and lifelong learning.
- Collaborate with cross-functional teams to integrate advanced AI models into consumer and enterprise products.
- Conduct rigorous experimentation with synthetic data generation and reinforcement learning from human feedback (RLHF).
- Mentor junior researchers and contribute to the technical culture of excellence within the lab.
- Publish high-impact research papers at top-tier conferences (NeurIPS, ICML, etc.) to establish thought leadership.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Minimum of 5 years of experience in deep learning, natural language processing, or computer vision.
- Proven expertise in Python, PyTorch, or TensorFlow with a strong grasp of distributed computing.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- Demonstrated ability to think abstractly and solve complex, open-ended problems.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.