Job Description
Are you ready to define the future? Quantum Horizon 2026 is seeking a visionary Lead AI Research Scientist to join our elite team in San Francisco. We are building the infrastructure for the next decade, specializing in advanced Artificial General Intelligence (AGI) and quantum-machine learning integration.
In this role, you will not just write code; you will architect the cognitive models that will power our ecosystem in the year 2026 and beyond. You will work in a high-performance environment with top-tier talent, pushing the boundaries of what is possible in deep learning and neural architecture.
Why join us?
- Work on groundbreaking technology that will shape the global landscape.
- Competitive compensation package and equity options.
- State-of-the-art research facilities in the heart of SF.
- Flexible remote-first culture with hybrid work options.
Responsibilities
- Lead Research Initiatives: Spearhead the development of proprietary neural architectures designed for the 2026 release cycle.
- Model Optimization: Optimize large-scale language models for speed, accuracy, and energy efficiency.
- Mentorship: Mentor a team of junior data scientists and researchers, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with cross-functional teams in engineering, product management, and design to translate research into real-world applications.
- Publishing: Author and publish high-impact papers in top-tier conferences (NeurIPS, ICML, ICLR).
- Data Strategy: Define the data strategy and curation processes necessary for training robust AI systems.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- Experience: 5+ years of experience in research roles, preferably within a top-tier tech company or research lab.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
- Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle complex, open-ended problems with innovative solutions.
- Communication: Excellent written and verbal communication skills for technical presentations and documentation.