Job Description
Apex Horizon Systems is at the forefront of technological evolution, and we are looking for a Senior AI Research Scientist to define the 2026 roadmap for our next-generation generative AI models.
In this pivotal role, you will bridge the gap between theoretical research and scalable product implementation. We are not just building software for today; we are architecting the intelligent systems that will define the enterprise landscape in 2026 and beyond. If you possess a deep understanding of neural architectures and a passion for future-tech strategy, we want to hear from you.
Why join us?
- Work on cutting-edge Generative AI and Large Language Models.
- Shape the strategic direction of AI adoption for Fortune 500 clients.
- Competitive compensation package and equity opportunities.
Responsibilities
- Lead research initiatives focused on long-term AI capabilities for the 2026 timeframe, including multimodal learning and autonomous agents.
- Design and prototype novel neural network architectures that outperform current industry standards.
- Collaborate with cross-functional product teams to translate complex research findings into practical, scalable software solutions.
- Conduct rigorous performance analysis and optimization of deployed AI models to ensure real-world reliability.
- Mentor junior researchers and PhD candidates in advanced machine learning techniques.
- Stay ahead of global tech trends to ensure Apex Horizon remains a market leader in predictive AI.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Minimum of 5 years of experience in research, engineering, or a senior technical role within the AI sector.
- Proven expertise in Python, PyTorch, or TensorFlow, with a portfolio of published research or patents.
- Deep understanding of Deep Learning, NLP, or Computer Vision.
- Strong analytical skills with the ability to derive actionable insights from complex datasets.
- Excellent communication skills, capable of explaining technical concepts to non-technical stakeholders.