Job Description
We are building the future of intelligence for the year 2026 and beyond. At Horizon Core Systems, we don't just predict trends; we engineer the technological reality that defines them. We are seeking a visionary Senior AI Research Engineer to lead our cutting-edge research division, focusing on the intersection of Generative AI, Autonomous Systems, and Ethical Machine Learning.
As part of our elite '2026 Vision' team, you will have the autonomy to define the architectural standards of tomorrow. If you are passionate about solving humanity's most complex problems and thrive in a fast-paced, high-stakes environment, this is your opportunity to leave a lasting legacy.
Why Join Us?
- Impactful Work: Directly influence the AI landscape of 2026.
- Elite Team: Collaborate with world-class PhDs and industry veterans.
- Future-Proof Role: Work on technologies that will define the next decade.
Responsibilities
- Lead the research and development of next-generation Generative AI models capable of zero-shot reasoning and complex multi-modal synthesis.
- Architect scalable Deep Learning infrastructure optimized for high-performance computing clusters.
- Define the ethical guidelines and safety protocols for Autonomous Agents deployed in critical infrastructure.
- Conduct rigorous benchmarking against state-of-the-art (SOTA) models to ensure our solutions remain at the forefront.
- Mentor and guide a team of junior researchers, fostering a culture of innovation and continuous learning.
- Collaborate with product teams to translate theoretical breakthroughs into tangible consumer and enterprise products.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in developing large-scale machine learning systems.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX; proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Specialization: Strong background in Natural Language Processing (NLP) or Computer Vision (CV), with a preference for candidates working on AGI Alignment.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Adaptability: Demonstrated ability to thrive in ambiguous environments and pivot research directions rapidly.