Job Description
Join the Architects of the Future
Nexus 2026 Technologies is at the forefront of defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Research Scientist to lead our AGI (Artificial General Intelligence) research division. If you are passionate about pushing the boundaries of machine learning, large language models, and autonomous agents, this is your opportunity to shape the next generation of human-machine interaction.
Our mission is to solve the most complex challenges in reasoning, perception, and decision-making. You will work in a high-performance environment, collaborating with world-class engineers and ethicists to deploy AI systems that are not only powerful but safe and aligned with human values.
Why Join Us?
• Competitive compensation package with equity options.
• Access to state-of-the-art compute infrastructure.
• Flexible remote-first policy with hubs in SF and NYC.
• Focus on long-term impact over short-term metrics.
Responsibilities
- Lead Research Initiatives: Spearhead the development of novel algorithms and architectures targeting AGI capabilities for the 2026 roadmap.
- Model Optimization: Optimize existing transformer models and neural networks for efficiency, scalability, and performance on edge devices.
- Paper Publication: Author and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR) to establish thought leadership.
- Prototyping: Build and deploy high-fidelity prototypes of autonomous agents capable of complex reasoning tasks.
- Collaboration: Partner with product teams to translate theoretical research into scalable, real-world AI products.
- Mentorship: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in deep learning, natural language processing, or computer vision.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Research: Demonstrated history of publishing in peer-reviewed venues or open-sourcing significant ML libraries.
- Problem Solving: Strong ability to tackle ambiguous, unsolved problems with creative, data-driven solutions.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.