Job Description
Are you ready to architect the artificial intelligence of tomorrow?
Nexus Future Systems is leading the charge toward a transformative 2026. We are looking for a Senior AI Research Scientist to spearhead our next-generation autonomous agent research division. If you are passionate about the intersection of Generative AI, Reinforcement Learning, and ethical technology, this is your opportunity to define the future.
In this pivotal role, you will not just implement existing models; you will build the foundational architectures that will power our ecosystem in the coming years.
Responsibilities
- Lead high-impact R&D initiatives focused on AGI (Artificial General Intelligence) and autonomous decision-making systems for the 2026 roadmap.
- Design and implement scalable, distributed machine learning pipelines capable of handling real-time, high-velocity data streams.
- Collaborate with cross-functional engineering teams to translate cutting-edge research into production-ready APIs and microservices.
- Publish high-impact research papers in top-tier AI conferences (NeurIPS, ICML, ICLR) to establish industry thought leadership.
- Optimize model inference speeds and reduce computational costs for edge deployment on next-gen hardware.
- Mentor junior researchers and foster a culture of innovation, curiosity, and ethical AI development.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of hands-on experience in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong background in Reinforcement Learning and Large Language Model (LLM) fine-tuning and architecture.
- Proven track record of publishing research and contributing to open-source AI communities.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.