Job Description
We are looking for a visionary Lead AI Researcher to join our elite team at Nexus Future Labs. As we prepare for the technological landscape of 2026, we are building the next generation of generative AI models that will redefine human-machine interaction. You will be at the forefront of innovation, working on scalable architectures and ethical AI frameworks that will power the future.
Our mission is to bridge the gap between theoretical machine learning and practical, high-impact applications. If you are passionate about Large Language Models (LLMs), multi-modal learning, and the future of artificial general intelligence, we want to hear from you.
Responsibilities
- Design and implement cutting-edge generative models, including Transformers, Diffusion models, and Reinforcement Learning from Human Feedback (RLHF).
- Lead research initiatives to improve model performance, accuracy, and efficiency in real-world scenarios.
- Optimize model inference pipelines for low-latency, high-throughput environments using distributed computing.
- Collaborate with cross-functional teams of engineers, product managers, and ethicists to align AI capabilities with business goals.
- Conduct rigorous testing and validation to ensure model safety, bias mitigation, and compliance with emerging regulations.
- Publish high-impact research papers and contribute to open-source communities to establish thought leadership.
Qualifications
- Ph.D. or Master's degree in Computer Science, Machine Learning, Mathematics, or a related field.
- 5+ years of experience in deep learning, natural language processing (NLP), or computer vision.
- Proficiency in Python, PyTorch, or TensorFlow with a strong understanding of GPU optimization.
- Experience with large-scale training infrastructure (e.g., AWS, GCP, Kubernetes).
- Strong mathematical foundation in linear algebra, calculus, and probability.
- Demonstrated ability to lead technical projects and mentor junior researchers.