Job Description
We are seeking a visionary Senior AI Architect to spearhead the development of next-generation generative models for our 2026 roadmap. Nexus Horizon AI is at the forefront of artificial intelligence, building systems that redefine human-computer interaction. If you are passionate about the future of AGI and possess deep expertise in large language models, we want to talk to you.
Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on cutting-edge technology that will shape the industry for years to come. Our team is dedicated to ethical AI development and pushing the boundaries of what is possible.
Responsibilities
- Architectural Design: Lead the design and implementation of scalable neural network architectures for large language models (LLMs) and multimodal systems.
- Research & Development: Conduct cutting-edge research in deep learning, specifically focusing on model efficiency, hallucination reduction, and context window expansion.
- Training Pipelines: Build and optimize large-scale training pipelines using distributed computing frameworks (PyTorch, JAX).
- Model Evaluation: Develop rigorous evaluation metrics and benchmarks to assess model performance against the 2026 industry standards.
- Collaboration: Work closely with product teams and data scientists to integrate AI models into production environments.
- Technical Mentorship: Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Experience: 5+ years of professional experience in AI/ML research or software engineering roles, specifically within the NLP or Generative AI space.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers. Experience with GPU clusters and cloud infrastructure (AWS/GCP).
- Knowledge: Deep understanding of Transformer architectures, attention mechanisms, and fine-tuning strategies (LoRA, PEFT).
- Problem Solving: Exceptional problem-solving skills with the ability to tackle complex, unstructured problems in a research setting.
- Communication: Ability to articulate complex technical concepts to non-technical stakeholders and publish research papers.