Job Description
Are you ready to define the future of Artificial Intelligence?
Nexus Horizon Labs is pioneering the technological landscape of 2026. We are seeking a visionary Senior AI Research Scientist to lead our Agentic AI and Quantum-Ready Neural Networks division. If you are passionate about pushing the boundaries of what is possible in generative models and ethical autonomy, we want to meet you.
In this role, you will not just build models; you will architect the intelligent systems that will define the next decade of human-machine interaction. You will work in a high-performance environment focused on scalable solutions, real-time learning, and ethical AI frameworks.
Why Join Us?
- Work on cutting-edge projects that will be industry standards by 2026.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with access to state-of-the-art hardware labs in San Francisco.
Responsibilities
- Architect Next-Gen Algorithms: Design and implement advanced machine learning models, specifically focusing on Large Language Models (LLMs) and autonomous agents.
- Quantum Integration: Research and prototype hybrid quantum-classical computing approaches to solve complex optimization problems.
- Ethical AI Frameworks: Develop guidelines and safety protocols to ensure AI autonomy aligns with human values and regulatory standards.
- Prototype Development: Build and deploy scalable AI solutions that can operate efficiently in edge environments and cloud infrastructures.
- Research Publication: Lead internal research initiatives and publish findings in top-tier AI conferences and journals.
- Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 5+ years of experience in research or applied machine learning roles, with a proven track record of leading significant projects.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Apache Spark, Kubernetes).
- Future-Ready Skills: Experience with Generative AI, Reinforcement Learning, and familiarity with quantum computing libraries (e.g., Qiskit, Cirq).
- Problem Solving: Exceptional ability to tackle ambiguous problems and derive innovative solutions in fast-paced environments.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse stakeholders.