Job Description
Are you ready to architect the future of intelligence?
Quantum Horizons Inc. is pioneering the convergence of Artificial Intelligence and Quantum Computing. We are seeking a visionary Senior AI/ML Architect to design the foundational models that will define the technological landscape of 2026 and beyond.
As a key architect at our San Francisco headquarters, you will lead the strategy for next-generation generative models, ensuring scalability, ethical AI practices, and seamless integration with quantum processors. If you are passionate about pushing the boundaries of what's possible in machine learning, this is your opportunity to lead the charge.
Why Join Us?
- Work on cutting-edge Quantum-Classical hybrid systems.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
Responsibilities
- Architect and deploy scalable machine learning pipelines capable of handling exabyte-scale data.
- Lead the research and implementation of hybrid Quantum-Classical AI algorithms.
- Establish robust MLOps frameworks to ensure model reproducibility, monitoring, and real-time inference.
- Define best practices for responsible AI, data governance, and bias mitigation.
- Mentor a high-performing team of junior data scientists and ML engineers to foster a culture of innovation.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, or a related field with a focus on AI/ML.
- Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and quantum software stacks (Qiskit, Cirq).
- Proven track record of deploying large-scale NLP and Computer Vision models into production environments.
- Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP, Azure).
- Experience with AI ethics, regulatory compliance, and responsible AI governance.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.