Job Description
Are you ready to define the trajectory of Artificial Intelligence in 2026?
At Apex Horizon Systems, we are building the infrastructure for tomorrow. As we approach the pivotal year of 2026, we are seeking a visionary AI Research Lead to spearhead our next-generation generative models and ethical AI frameworks. If you are passionate about pushing the boundaries of what is possible in machine learning and want to leave a lasting legacy in the tech industry, this is your moment.
Why Join Us?
- Impact at Scale: Work on projects that will redefine human-computer interaction.
- The 2026 Vision: Be at the forefront of the AI revolution that is set to define the coming decade.
- Top-Tier Talent: Collaborate with world-class engineers and researchers.
We are looking for a self-starter who thrives in ambiguity and is driven by the challenge of solving complex problems.
Responsibilities
- Lead the research and development of proprietary AI models targeting deployment in the 2026 ecosystem, with a focus on Large Language Models (LLMs) and multimodal systems.
- Design and implement novel algorithms that improve model accuracy, efficiency, and scalability.
- Mentor and guide a team of junior data scientists and AI engineers, fostering a culture of innovation and continuous learning.
- Collaborate with product teams to translate complex research findings into practical, user-facing applications.
- Stay ahead of the curve by monitoring emerging trends in AI, ensuring Apex Horizon remains a market leader.
- Ensure all research adheres to the highest ethical standards, addressing bias and fairness in AI systems.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence/Deep Learning.
- Proven track record of 5+ years in AI/ML research, with at least 2 years in a leadership or senior engineering role.
- Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong publication record in top-tier conferences (NeurIPS, ICML, ICLR) is highly preferred.
- Deep understanding of Natural Language Processing (NLP) and Generative AI architectures.
- Experience deploying models to production environments (e.g., AWS, GCP, Azure).