Job Description
We are pioneering the technological landscape of the future. Quantum Horizon Systems is looking for a visionary Senior AI Research Engineer to join our elite 'The 2026 Initiative' team. As we bridge the gap between current neural architectures and the AGI (Artificial General Intelligence) capabilities projected for the late 2020s, your work will define the core infrastructure of tomorrow.
In this role, you will not just write code; you will architect the cognitive models that will power the next generation of autonomous systems. If you are obsessed with the potential of LLMs, Reinforcement Learning, and scalable AI infrastructure, we want to hear from you.
Why join us?
- Work on cutting-edge projects that define the 2026 roadmap.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with access to world-class facilities.
Responsibilities
- Lead the research and development of next-generation neural network architectures targeting 2026 benchmarks.
- Design and optimize large-scale machine learning pipelines for distributed computing environments.
- Collaborate with cross-functional teams to integrate AI models into real-world products.
- Publish high-impact research papers and contribute to open-source communities.
- Ensure model efficiency, scalability, and ethical AI compliance.
- Mentor junior engineers and define technical best practices for the research team.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of experience in AI/ML research or a comparable R&D role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
- Demonstrated ability to solve complex mathematical and algorithmic problems.