Job Description
We are seeking a visionary Lead AI Architect for Future Mobility to join our elite engineering team in San Francisco. As we pioneer the technological landscape leading up to and beyond 2026, we are building autonomous systems that will redefine how humanity interacts with technology. You will be responsible for architecting the neural frameworks that power our next-generation predictive algorithms and smart infrastructure integration.
In this role, you will bridge the gap between theoretical artificial intelligence and real-world application, ensuring our solutions are scalable, ethical, and future-proof. If you are passionate about the cutting edge and want to define the standards of 2026, we want to hear from you.
Why Join Us?
- Work on projects that define the future of autonomous transportation.
- Access to state-of-the-art computing infrastructure and research.
- Competitive equity package and comprehensive benefits.
Responsibilities
- Design and implement scalable machine learning architectures for autonomous navigation and predictive analytics.
- Optimize deep learning models to run efficiently on edge computing devices and IoT sensors.
- Lead the research and integration of emerging AI paradigms, specifically focusing on 2026 technological milestones.
- Collaborate with cross-functional teams including hardware engineers, data scientists, and product managers.
- Establish and enforce best practices for data privacy, security, and ethical AI usage.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering, deep learning, or AI architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
- Strong understanding of Natural Language Processing (NLP) and Computer Vision.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Proven track record of deploying models into production environments.