Job Description
Are you ready to define the technological landscape of 2026?
Nexus Future Systems is on a mission to pioneer the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Research Scientist to lead our strategic roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical breakthroughs and practical application, shaping the future of our core AI platforms.
If you are a thought leader passionate about Large Language Models, Generative AI, and ethical machine learning, we want to hear from you.
Responsibilities
- Strategic Roadmapping: Lead the research strategy to define the AI capabilities and features we will deploy by 2026.
- Innovation Leadership: Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision to push the boundaries of current AI models.
- Model Development: Design, train, and fine-tune state-of-the-art deep learning architectures optimized for scalability and efficiency.
- Collaboration: Partner closely with engineering, product, and design teams to translate complex research findings into production-ready software solutions.
- Mentorship: Guide a team of junior researchers and data scientists, fostering a culture of technical excellence and continuous learning.
- Ethical AI: Ensure all research adheres to the highest standards of bias mitigation, privacy, and ethical AI governance.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in applied research within the tech industry, specifically focusing on Deep Learning or NLP.
- Technical Skills: Proficiency in Python, PyTorch or TensorFlow, and experience with Hugging Face Transformers or similar libraries.
- Strategic Thinking: Demonstrated ability to forecast industry trends and align research goals with long-term business objectives.
- Communication: Excellent verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
- Problem Solving: A track record of solving complex, open-ended problems in dynamic environments.