Job Description
We are pioneering the technological landscape for the year 2026 and beyond. At Nexus Horizon Labs, we are building the next generation of Autonomous AI Agents and Generative Intelligence systems that will redefine human-machine collaboration. We are seeking a visionary Senior AI Research Scientist to lead our R&D division in creating scalable, ethical, and highly capable Large Language Models (LLMs).
In this role, you will bridge the gap between theoretical research and practical deployment, ensuring our AI architectures are robust enough to handle the complexities of a future-driven economy. You will work with a world-class team of engineers, ethicists, and product designers to push the boundaries of what is possible in AI.
Why Join Us?
- Work on cutting-edge projects that define the future of the industry.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to top-tier computing infrastructure and proprietary datasets.
Responsibilities
- Model Architecture & Development: Design, train, and fine-tune state-of-the-art Generative AI models, focusing on LLMs and multimodal agents.
- Research Strategy: Lead internal research initiatives to explore novel approaches in prompt engineering, reinforcement learning from human feedback (RLHF), and chain-of-thought reasoning.
- Technical Leadership: Mentor junior researchers and engineers, conducting code reviews and establishing best practices for reproducibility and efficiency.
- Performance Optimization: Optimize model inference speed and reduce computational costs for real-time applications.
- Cross-Functional Collaboration: Partner with product teams to translate complex research findings into scalable, user-friendly AI products.
- Publication & Thought Leadership: Author and publish papers in top-tier AI conferences (NeurIPS, ICML, ACL) to maintain our position as an industry leader.
- Ethical AI Governance: Implement safety protocols and bias mitigation strategies to ensure responsible AI deployment.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence, Machine Learning, or Deep Learning.
- Experience: 5+ years of professional experience in AI/ML research and development, with a proven track record of publishing high-impact research.
- Technical Skills: Extensive expertise in Python, PyTorch, TensorFlow, or JAX. Deep understanding of Transformer architectures, attention mechanisms, and neural network optimization.
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and derive innovative solutions.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.