Job Description
We are seeking a visionary AI Research Scientist to define the technological trajectory for the year 2026 and beyond. At Apex Horizon Systems, we are building the cognitive layer for the next generation of enterprise solutions. If you are passionate about pushing the boundaries of Generative AI, Reinforcement Learning, and Large Language Models, this is your opportunity to lead high-impact research.
You will work in a collaborative environment with top-tier engineers and data scientists to deploy state-of-the-art models that solve complex real-world problems. This role offers the chance to shape the future of AI while enjoying a competitive compensation package in the heart of the tech industry.
Responsibilities
- Lead the architecture and development of next-generation AI models and algorithms focused on 2026 goals.
- Define the strategic technical roadmap for our AI capabilities and research initiatives.
- Collaborate with product teams to translate cutting-edge research findings into scalable production systems.
- Publish high-impact research papers and secure patents for novel machine learning technologies.
- Conduct rigorous experiments in Natural Language Processing (NLP), Computer Vision, or Multi-Agent Systems.
- Mentor junior researchers and PhD candidates to foster a culture of continuous innovation.
- Evaluate and integrate new frameworks to optimize model performance and efficiency.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of proven experience in applied machine learning and deep learning research.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, or ICLR).
- Deep understanding of Transformer architectures, LLM fine-tuning, and RAG systems.
- Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and drive projects from conception to deployment.