Job Description
We are seeking a visionary Lead AI Research Scientist to architect the next generation of generative intelligence systems. Nexus Future Labs is pioneering the technological advancements set to define the year 2026. In this role, you will lead a high-impact research team focused on Artificial General Intelligence (AGI), scalable machine learning infrastructure, and ethical AI deployment.
You will be at the forefront of innovation, bridging the gap between theoretical research and real-world application. If you are passionate about shaping the future of technology and possess a deep understanding of deep learning architectures, we want to meet you.
Responsibilities
- Lead Research & Development: Spearhead cutting-edge research in Large Language Models (LLMs) and reinforcement learning to drive our roadmap for 2026.
- Strategic Planning: Define the technical vision and long-term research strategy for our AI initiatives, ensuring scalability and robustness.
- Team Leadership: Mentor, coach, and manage a team of talented data scientists and researchers, fostering a culture of innovation and excellence.
- Cross-Functional Collaboration: Work closely with product managers and engineers to translate complex research into deployable, high-performance software products.
- Patent & Publication: Drive the creation of intellectual property and contribute to high-impact academic publications and industry conferences.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- Experience: Minimum of 5+ years of experience in AI/ML research, with a proven track record of leading research teams or projects.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and CUDA. Deep knowledge of transformer architectures, NLP, and deep reinforcement learning.
- Research Track Record: Demonstrated ability to publish in top-tier venues (NeurIPS, ICML, ACL) or contribute to open-source AI projects.
- Problem Solving: Exceptional analytical and problem-solving skills with a focus on solving complex, ambiguous problems.