Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is seeking a visionary Senior Artificial Intelligence Researcher to spearhead our next-generation model development for the 2026 roadmap. You will work at the cutting edge of neural networks and cognitive computing, defining the standards for the future of technology.
In this pivotal role, you will not only train state-of-the-art models but also establish the ethical frameworks and technical architectures that will define the AI landscape for the next decade. We offer a competitive package and the opportunity to work with a team of world-class engineers and scientists.
Why Join Us?
- Work on mission-critical projects with a direct impact on the future of automation.
- Access to top-tier hardware and cloud resources for large-scale experimentation.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Lead R&D Initiatives: Drive the research and development of advanced machine learning algorithms, focusing on Generative AI and Large Language Models.
- Model Architecture: Design and implement scalable neural network architectures optimized for the 2026 computing landscape.
- Technical Roadmap: Define the technical strategy and milestones for upcoming product releases and internal tools.
- Cross-Functional Collaboration: Partner with software engineers and product managers to translate research findings into production-ready applications.
- Publication & Mentorship: Publish high-impact research papers and mentor junior researchers and data scientists.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Experience: 5+ years of experience in research, machine learning, or deep learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing.
- Domain Knowledge: Deep expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle complex, open-ended research problems with creative solutions.