Job Description
We are Apex Horizon Labs, a premier R&D firm pioneering the next generation of Artificial General Intelligence. As we aggressively pursue our roadmap to achieve autonomous, agentic AI capabilities by 2026, we are seeking a visionary Senior AI Research Engineer to join our elite team.
In this role, you will bridge the gap between theoretical research and production-scale deployment. You will be instrumental in developing the Large Language Models (LLMs) and multimodal systems that will define the future of enterprise automation. If you are driven by the challenge of solving complex neural architectures and want to leave a lasting mark on the trajectory of AI, we want to hear from you.
Responsibilities
- Architect and train state-of-the-art foundation models, focusing on scaling laws and efficiency.
- Optimize transformer architectures for low-latency inference and high-throughput processing.
- Develop and refine Retrieval-Augmented Generation (RAG) pipelines to enhance model factual accuracy.
- Pioneer research into AI safety, alignment, and interpretability to ensure robust deployment.
- Collaborate with engineering teams to transition research models into scalable production environments.
- Lead technical deep-dives and mentor junior researchers within the AI division.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing research in top-tier venues (NeurIPS, ICML, ACL) or open-source contributions to Hugging Face.
- Deep understanding of attention mechanisms, transformer models, and LLM fine-tuning techniques.
- Experience with distributed training frameworks (Ray, Horovod) and cloud infrastructure (AWS/GCP).