Job Description
We are seeking a visionary Senior AI Research Scientist to lead our cutting-edge research division focused on the 2026 Horizon. In this pivotal role, you will define the architectural backbone of our next-generation artificial intelligence systems, ensuring we are ahead of the curve in a rapidly evolving technological landscape.
Why Join Us?
Quantum Leap Innovations is at the forefront of predictive intelligence. As we prepare for the technological shifts of 2026, we need a leader who can bridge the gap between theoretical research and scalable engineering. You will have the autonomy to direct high-impact projects and mentor a team of elite engineers.
Responsibilities
- Lead Research Strategy: Define and execute the research roadmap for AI models specifically designed for the 2026 technological landscape.
- Model Architecture: Design, train, and deploy advanced machine learning architectures, including Transformers and Graph Neural Networks.
- Technical Mentorship: Guide a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with cross-functional teams (Product, Engineering, Data Science) to translate research into tangible products.
- Publication & Patents: Author high-impact research papers and secure patents for novel AI methodologies.
- Performance Optimization: Ensure model inference is efficient, scalable, and meets production-grade latency requirements.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: Minimum of 5+ years of experience in AI/ML research and development.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Leadership: Proven track record of leading research teams and managing complex projects from conception to deployment.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.