Job Description
Join Nexus Future Systems as we architect the intelligence layer for the year 2026 and beyond. We are looking for a visionary Senior AI Research Engineer to lead the development of next-generation Large Language Models and generative AI systems. If you are passionate about pushing the boundaries of artificial intelligence and want to define the technology landscape of the future, this is your opportunity.
As a key member of our R&D division, you will work at the intersection of cutting-edge research and scalable production engineering. You will be responsible for training, fine-tuning, and deploying state-of-the-art AI models that power our enterprise clients.
Responsibilities
- Lead the research, design, and implementation of proprietary Generative AI and LLM architectures.
- Optimize model inference performance for real-time applications and massive scale deployment.
- Collaborate with cross-functional teams to integrate AI models into existing product ecosystems.
- Pioneer novel training techniques, including reinforcement learning from human feedback (RLHF) and distillation.
- Ensure ethical AI practices, including bias mitigation and safety alignment.
- Conduct academic-level research and publish findings to establish industry thought leadership.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Extensive experience with Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of publishing research papers in top-tier conferences (NeurIPS, ICML, ACL).
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Experience with fine-tuning large-scale models (e.g., GPT-4, Llama, or similar) on custom datasets.