Job Description
Are you ready to define the next era of human intelligence? Nexus Horizon Labs is seeking a visionary Senior Generative AI & Neural Interface Engineer to lead our cutting-edge research division.
In this role, you will bridge the gap between deep learning architectures and neuro-technology, creating seamless symbiotic relationships between human cognition and artificial intelligence. You will architect scalable models that power our next-generation neural interfaces, pushing the boundaries of what is possible in 2026 and beyond.
Why Join Us?
- Work on the bleeding edge of Brain-Computer Interface (BCI) technology.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a vibrant office in the heart of San Francisco.
Responsibilities
- Develop and fine-tune large-scale generative models for real-time neural feedback loops and cognitive augmentation.
- Design and optimize low-latency inference pipelines for BCI hardware integration.
- Collaborate with interdisciplinary teams of neuroscientists, ethicists, and hardware engineers to refine neural signal processing algorithms.
- Ensure the safety, transparency, and interpretability of generative AI systems used in medical and consumer applications.
- Mentor junior engineers and conduct technical research to stay ahead of emerging AI paradigms.
Qualifications
- PhD or Master’s degree in Computer Science, Computational Neuroscience, or a related quantitative field.
- 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Generative AI.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of transformer architectures, diffusion models, and reinforcement learning.
- Experience with signal processing, time-series analysis, or neuroimaging data is a major plus.