Job Description
We are seeking a visionary Lead Architect to spearhead the development of our autonomous systems and generative AI infrastructure for the 2026 roadmap. At Apex Horizon Technologies, we don't just predict the future; we engineer it. You will be responsible for designing scalable, high-performance neural network architectures that redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible in AI, quantum computing integration, and edge processing, we want to meet you.
Why Join Us?
- Work on cutting-edge technology that will shape the landscape of 2026 and beyond.
- Competitive compensation and equity package.
- Flexible remote-first policy with a premium office in the heart of SF.
Responsibilities
- Architect and implement state-of-the-art deep learning models for autonomous decision-making and generative content creation.
- Lead a cross-functional team of data scientists, engineers, and researchers to deliver high-impact products.
- Optimize model inference latency and throughput for real-time edge deployment.
- Establish best practices for MLOps, ensuring robust model governance and version control.
- Conduct research into emerging paradigms such as Neuro-Symbolic AI and Federated Learning.
- Collaborate with product stakeholders to translate complex technical concepts into viable roadmaps.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures, large language models (LLMs), and reinforcement learning.
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
- Strong background in distributed systems and high-performance computing.