Job Description
Join the Future of Computing
Apex Horizon Labs is pioneering the Project 2026 initiative, a mission to define the next era of human-machine interaction through the convergence of Artificial Intelligence and Quantum Mechanics. We are seeking a visionary Lead AI & Quantum Architect to lead our technical strategy in San Francisco.
In this role, you will not just write code; you will architect the neural networks that will power the infrastructure of tomorrow. If you are driven by the challenge of pushing the boundaries of what is possible and want to be part of a team that defines the roadmap for 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on bleeding-edge technology that will shape the industry.
- Competitive compensation package with equity options.
- Collaborative environment with top-tier global talent.
Responsibilities
- Design and implement scalable neural network architectures optimized for quantum hardware environments.
- Lead a cross-functional team of data scientists and quantum physicists to integrate classical AI models with quantum algorithms.
- Conduct research to identify emerging trends in machine learning, specifically focusing on NLP and reinforcement learning for 2026 roadmaps.
- Optimize existing machine learning pipelines to reduce latency and increase computational efficiency.
- Define technical standards, code reviews, and best practices for the AI research division.
- Mentor junior engineers and researchers to foster a culture of innovation and continuous learning.
Qualifications
- Master’s degree or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
- Minimum of 5 years of experience in machine learning, deep learning, or artificial intelligence engineering.
- Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with quantum computing libraries (e.g., Qiskit, Cirq) is highly desirable.
- Strong understanding of linear algebra, probability, and statistical analysis.
- Proven track record of leading technical teams and delivering complex projects on time.