Job Description
About the Role: Apex Systems is pioneering the technological landscape for the year 2026. We are seeking a visionary 2026 Horizon AI Lead Engineer to architect the next generation of artificial intelligence solutions. This is not just a job; it is a chance to define the future of tech.
In this high-impact position, you will lead the design and implementation of cutting-edge neural architectures and scalable AI infrastructures. You will bridge the gap between theoretical machine learning breakthroughs and practical, real-world applications.
Why Join Us?
- Work on projects that will shape the technology of 2026 and beyond.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect and deploy scalable AI/ML infrastructure designed for the 2026 era, focusing on quantum-ready algorithms.
- Lead a cross-functional team of data scientists, ML engineers, and researchers to build predictive models.
- Optimize neural networks for real-time inference, edge computing, and high-volume data processing.
- Collaborate with product stakeholders to define the strategic roadmap for future AI capabilities.
- Establish best practices for MLOps, data governance, and ethical AI implementation.
- Drive innovation in Natural Language Processing (NLP) and Computer Vision technologies.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI.
- 10+ years of professional experience in AI, Machine Learning, or Deep Learning engineering.
- Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Spark).
- Proven experience designing systems for high availability, low latency, and massive scalability.
- Strong understanding of Generative AI, LLMs, and reinforcement learning paradigms.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.