Job Description
Are you ready to architect the world of tomorrow? Chronos Future Labs is on the cutting edge of technological evolution, and we are seeking a visionary Senior AI Architect to lead our Year 2026 initiative. In this high-impact role, you will define the architectural backbone for our next generation of autonomous systems, ensuring they are scalable, secure, and ethically aligned with the future.
We are looking for a thought leader who doesn't just implement existing solutions but pushes the boundaries of what is possible in artificial intelligence. You will work alongside world-class researchers and engineers to deploy neural networks that power the future of human-computer interaction.
Why join us?
- Work on mission-critical projects that will define the industry standard for 2026 and beyond.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to state-of-the-art computing infrastructure and research resources.
Responsibilities
- Lead the architectural design and implementation of large-scale machine learning systems for the Year 2026 roadmap.
- Conduct deep research into emerging AI paradigms, including generative models, reinforcement learning, and edge computing.
- Collaborate with cross-functional teams—including product, security, and data science—to integrate AI solutions seamlessly into core products.
- Establish best practices for code quality, model documentation, and deployment pipelines.
- Oversee the performance tuning and optimization of neural networks to ensure low-latency inference in production environments.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 10+ years of professional experience in software engineering and artificial intelligence.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Proven track record of leading technical teams and managing complex, high-stakes projects.
- Strong understanding of ethical AI, data privacy, and regulatory compliance (GDPR, CCPA).
- Demonstrated ability to translate complex research concepts into scalable production systems.