Job Description
We are looking for a visionary Senior AI Engineer to join our 2026 Horizon Initiative. Apex Dynamics is redefining the boundaries of artificial intelligence and quantum computing. In this role, you will not just build models; you will architect the future of our enterprise-grade AI infrastructure. We are seeking a leader who thrives in ambiguity and is passionate about solving the complex challenges that define the next generation of technology.
As part of our elite technical team, you will be responsible for deploying next-generation neural networks and optimizing large-scale machine learning pipelines. You will work closely with our R&D division to ensure our technology stack is future-proofed for the rapidly evolving landscape of 2026 and beyond.
Why Join Us?
- Work on cutting-edge technology with a team of world-class engineers.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with hubs in San Francisco and New York.
Responsibilities
- Lead the architecture and development of proprietary AI models designed for the 2026 product roadmap.
- Optimize deep learning algorithms for high-performance inference on edge devices.
- Mentor junior engineers and conduct code reviews to maintain the highest engineering standards.
- Collaborate with cross-functional teams including Product Managers, Data Scientists, and Designers.
- Identify and mitigate risks in data pipelines and model deployment strategies.
- Stay at the forefront of AI research, integrating novel techniques into our production environment.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 7+ years of professional experience in Machine Learning, AI, or Data Science.
- Extensive experience with Python, PyTorch, TensorFlow, and C++.
- Deep understanding of Natural Language Processing (NLP) and Generative AI architectures.
- Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
- Excellent communication skills and the ability to translate technical concepts to non-technical stakeholders.