Job Description
The Future is Now. Are You Ready to Lead It?
Apex Horizon Technologies is pioneering the next generation of artificial intelligence, targeting the technological milestones set for 2026. We are seeking a visionary Senior AI Research Engineer to architect the autonomous systems that will define the next era of human-computer interaction.
In this high-impact role, you will not just build models; you will build the infrastructure for tomorrow. You will work at the bleeding edge of Generative AI, Autonomous Agents, and Reasoning Systems. Join a team of elite engineers and researchers dedicated to solving the most complex challenges in scalability, safety, and AGI alignment.
Why Join Us?
- Impactful Mission: Directly contribute to the roadmap achieving Artificial General Intelligence readiness by 2026.
- Elite Environment: Collaborate with world-class PhDs and industry veterans in a state-of-the-art facility.
- Competitive Compensation: Top-tier salary, equity package, and comprehensive benefits.
Our Commitment: We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Responsibilities
- Lead the research and development of next-generation Large Language Models (LLMs) and Multimodal Agents.
- Design and optimize inference pipelines to support real-time, high-volume applications for the 2026 market.
- Implement state-of-the-art safety and alignment techniques to ensure robust model behavior.
- Collaborate cross-functionally with product teams to translate research breakthroughs into scalable software solutions.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Publish cutting-edge research findings in top-tier academic conferences and journals.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in Machine Learning, Deep Learning, or Reinforcement Learning.
- Proficiency in Python, PyTorch, and modern NLP frameworks.
- Deep understanding of transformer architectures and attention mechanisms.
- Experience with distributed computing systems (e.g., Kubernetes, Ray, Spark).
- Strong publication record or significant contributions to open-source ML projects.