Job Description
Shape the Future of Intelligence
Are you ready to define the trajectory of Artificial Intelligence for the year 2026? At Quantum Horizon Labs, we aren't just building the next generation of models; we are architecting the future of human-machine symbiosis. We are seeking a visionary Senior AI Research Scientist to lead our cutting-edge initiatives in General Artificial Intelligence (AGI) and Large Language Model evolution.
In this role, you will work on the bleeding edge of technology, pushing the boundaries of what is possible in 2026 and beyond. You will collaborate with a world-class team of engineers, ethicists, and futurists to build systems that are not only intelligent but also safe, interpretable, and beneficial.
Why Join Us?
- Impact: Work on projects that will define the technological landscape of the next decade.
- Autonomy: Enjoy the freedom to explore high-risk, high-reward research areas.
- Equity: Competitive equity package reflecting our growth trajectory.
- Environment: State-of-the-art research facility in the heart of the Bay Area.
The Role
We are looking for a thought leader who can translate theoretical research into scalable, production-ready architectures. If you are passionate about the future and possess the technical prowess to build it, we want to hear from you.
Responsibilities
- Lead Research: Drive the core research agenda for our 2026 roadmap, focusing on reinforcement learning, multimodal learning, and neural-symbolic integration.
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models capable of complex reasoning and autonomous decision-making.
- Prototyping: Rapidly prototype new algorithms and architectures, moving concepts from whiteboard to proof-of-concept with minimal friction.
- Mentorship: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Work closely with product teams to translate research capabilities into user-facing features and tools.
- Publication: Contribute to top-tier academic conferences and publish seminal papers in the field of AI.
- Ethics & Safety: Implement rigorous safety protocols and alignment techniques to ensure AI systems operate within ethical boundaries.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- Experience: Minimum of 5 years of industry experience in deep learning, NLP, or computer vision, or equivalent postdoctoral research experience.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing systems and GPU optimization.
- Research: Proven track record of publishing at venues like NeurIPS, ICML, ICLR, or ACL.
- Problem Solving: Exceptional ability to tackle open-ended, ambiguous problems and devise novel solutions.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.
- Creativity: A visionary mindset with the ability to think several steps ahead in model evolution.