Job Description
Join the Vanguard of 2026 Innovation.
At Nexus Horizon Labs, we are not just building for tomorrow; we are architecting the future. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Research Scientist to lead our cutting-edge research into Artificial General Intelligence (AGI) and next-gen predictive modeling. This is a rare opportunity to define the technical roadmap for the next decade of human-machine interaction.
You will work in a high-performance environment where curiosity drives progress. If you are passionate about solving complex problems at the intersection of neuroscience and computer science, we want to hear from you.
Why Join Us?
- Work on projects that redefine industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art offices in San Francisco.
- Access to proprietary computing resources and HPC clusters.
Apply today to become a key architect of the 2026 technological landscape.
Responsibilities
- Lead Strategic R&D: Direct the research strategy for 2026, focusing on the development of Large Language Models (LLMs) and autonomous agent frameworks.
- Model Architecture: Design and implement novel neural network architectures capable of surpassing current benchmarks in reasoning and adaptability.
- Team Leadership: Mentor a team of junior data scientists and researchers, fostering a culture of innovation and excellence.
- Patent Strategy: Lead the identification, development, and filing of intellectual property related to proprietary algorithms.
- Cross-Functional Collaboration: Partner with engineering and product teams to translate theoretical research into scalable production solutions.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: Minimum of 5 years of industry experience in AI research, preferably within a top-tier tech firm or research lab.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
- Domain Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.