Job Description
Are you ready to architect the future of intelligence?
Nebula Dynamics is leading the charge into the next era of technology with our exclusive 2026 Innovation Initiative. We are seeking a visionary Senior AI Architect to spearhead the development of next-generation autonomous systems and generative frameworks. This is not just a job; it is a mission to define the technological landscape of 2026 and beyond.
As part of our elite technical team in San Francisco, you will work on cutting-edge Large Language Models (LLMs), multimodal learning systems, and ethical AI infrastructures. If you are passionate about pushing the boundaries of what is possible in artificial intelligence, we want to hear from you.
Responsibilities
- Lead the 2026 Roadmap: Define and execute the architectural vision for our proprietary AI platforms, ensuring scalability and robustness for future demands.
- Model Development: Design, train, and optimize complex deep learning models using Python, PyTorch, and TensorFlow.
- System Integration: Collaborate with software engineers and product managers to integrate AI models into high-performance production environments.
- Mentorship: Guide a team of talented data scientists and engineers, fostering a culture of continuous learning and innovation.
- Ethical AI: Establish and enforce best practices for AI ethics, bias mitigation, and safety standards.
- Performance Optimization: Continuously monitor and improve model inference speeds and accuracy to meet enterprise-grade standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 5 years of experience in software engineering and machine learning, with at least 2 years in a senior architect or lead role.
- Technical Skills: Deep expertise in Python, PyTorch, and experience with cloud platforms (AWS/GCP/Azure).
- AI Specialization: Strong background in NLP, Computer Vision, or Reinforcement Learning, with a focus on Generative AI.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in a fast-paced, agile environment.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to diverse stakeholders.