Job Description
Are you ready to shape the trajectory of human-machine interaction?
At Quantum Horizon Labs, we are not just building software; we are architecting the future. We are currently recruiting a visionary Lead AI Architect to spearhead our The 2026 Initiative—a groundbreaking project focused on developing the next generation of autonomous cognitive systems.
In this high-impact role, you will lead a team of elite engineers and researchers to build scalable, fault-tolerant AI infrastructures that define the standard for the industry. If you thrive in a fast-paced, innovative environment and want to leave a legacy in the tech landscape of 2026 and beyond, we want to meet you.
Why Join Us?
- Work on cutting-edge research that pushes the boundaries of Generative AI and Neural Networks.
- Competitive compensation package and equity options in a Series A startup.
- Flexible remote-first culture with access to state-of-the-art hardware labs in SF.
- Professional development budget for conferences and advanced certifications.
Responsibilities
- Architect and deploy scalable machine learning pipelines capable of processing petabytes of real-time data.
- Lead the technical strategy for The 2026 Initiative, ensuring alignment with long-term product vision.
- Collaborate with cross-functional teams (Data Science, Product, Security) to integrate AI models into production environments.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
- Conduct rigorous code reviews and establish best practices for AI model governance and explainability.
- Stay abreast of the latest advancements in AI/ML to ensure our solutions remain at the forefront of technology.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or equivalent ML frameworks.
- Proven track record of designing and implementing large-scale distributed systems.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning is highly preferred.
- Exceptional problem-solving skills and the ability to thrive in ambiguous, fast-evolving environments.