Job Description
We are seeking a visionary and technically rigorous AI Research Lead to spearhead our ambitious Project 2026. As a pioneer in the field, Nexus Future Labs is dedicated to pushing the boundaries of artificial intelligence to solve humanity's most complex challenges. In this pivotal role, you will define the research strategy for the next decade, guiding a world-class team of data scientists and engineers to build scalable, ethical, and transformative AI systems.
Why Join Us?
- Impactful Work: Directly shape the technological landscape of 2026 and beyond.
- Innovation First: Access to state-of-the-art computing resources and a culture that encourages 'failing fast' to learn faster.
- Competitive Compensation: Generous salary and equity package commensurate with experience.
If you are a leader who thrives in ambiguity and is driven by the pursuit of excellence, we want to hear from you.
Responsibilities
- Lead Research Strategy: Define and execute the high-level research roadmap for Project 2026, aligning technical goals with business objectives.
- Team Leadership: Mentor and manage a team of senior researchers and machine learning engineers, fostering a culture of collaboration and innovation.
- Model Development: Oversee the design, training, and optimization of advanced neural network architectures and large language models.
- Publication & Patenting: Drive the publication of high-impact research papers and secure patents for proprietary technologies.
- Cross-Functional Collaboration: Work closely with product management and engineering teams to translate theoretical research into production-ready applications.
- Ethical AI: Establish and enforce guidelines for responsible AI development to ensure fairness, transparency, and safety.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in AI/ML research, with at least 3 years in a leadership or senior individual contributor role.
- Technical Expertise: Deep knowledge of deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
- Programming: Proficiency in Python and experience with high-performance computing environments.
- Problem Solving: Demonstrated ability to tackle novel problems and derive insights from complex datasets.
- Communication: Exceptional ability to communicate complex technical concepts to diverse audiences, including non-technical stakeholders.