Job Description
We are pioneering the next generation of human-machine interaction. As a Senior AI & Neural Interface Engineer, you will be at the forefront of developing cognitive computing systems that bridge biological intelligence and digital ecosystems. We are looking for a visionary individual to lead our R&D efforts in San Francisco, ensuring our solutions remain at the cutting edge of technology for the year 2026 and beyond.
Why Join Us?
- Work on mission-critical projects that redefine the future of work.
- Competitive compensation package and equity options.
- Access to state-of-the-art labs and resources.
Responsibilities
- Architect and deploy scalable neural network models designed for low-latency bio-feedback integration.
- Lead the research and implementation of Large Language Models (LLMs) optimized for real-time decision-making.
- Collaborate with cross-functional teams of neuroscientists and software engineers to refine ethical AI frameworks.
- Optimize inference engines for edge computing devices to ensure seamless user experiences.
- Mentor junior engineers and establish best practices for data security and model interpretability.
- Stay ahead of emerging trends in generative AI and quantum computing integration.
Qualifications
- Master’s or PhD in Computer Science, Computational Neuroscience, or a related technical field.
- 10+ years of experience in machine learning, deep learning, and AI software engineering.
- Expert proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Proven track record of deploying AI solutions in production environments.
- Strong understanding of data privacy laws and ethical AI principles.
- Excellent problem-solving skills with a passion for innovation.