Job Description
Join the Vanguard of Synthetic Intelligence.
Apex Horizon Systems is seeking a visionary Chief Neural Architect to lead the development of our next-generation cognitive computing framework. As we prepare to redefine the boundaries of human-machine symbiosis by 2026, we need a leader who can architect systems that not only think but adapt.
In this pivotal role, you will design the neural pathways for our autonomous decision-making engines, ensuring seamless integration with emerging neuromorphic hardware. If you are passionate about the future of AI and possess the technical prowess to build the systems of tomorrow, we want to hear from you.
Why Apex Horizon?
- Be at the forefront of the AI revolution.
- Competitive compensation and equity packages.
- Flexible remote-first culture with Austin HQ.
Responsibilities
- Architect Neural Frameworks: Design and implement scalable, deep learning architectures capable of processing quantum-scale datasets in real-time.
- Optimization Strategy: Lead the optimization of model inference speed and energy efficiency for edge computing environments.
- Hybrid Intelligence: Develop methodologies for blending symbolic AI with generative models to create robust reasoning engines.
- R&D Leadership: Collaborate with hardware engineers to tailor neural models for neuromorphic processors and quantum co-processors.
- System Evaluation: Establish rigorous benchmarks for AI performance, safety, and ethical alignment within the system.
- Talent Mentorship: Guide a team of top-tier machine learning engineers and data scientists in research and production.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, or Mathematics with a focus on Neural Networks.
- Experience: 7+ years of experience in deep learning, with at least 3 years in a senior architectural or leadership role.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Advanced Knowledge: Demonstrated experience with Large Language Models (LLMs), Transformers, or Generative Adversarial Networks (GANs).
- Hardware Insight: Familiarity with neuromorphic computing concepts or quantum machine learning algorithms is highly preferred.
- Problem Solving: Exceptional ability to solve complex, unstructured problems in high-stakes environments.