Job Description
Are you ready to architect the next generation of artificial intelligence? Nebula Nexus AI is on a mission to redefine human-machine interaction in the year 2026 and beyond. We are seeking a visionary Lead Generative AI Architect to spearhead our R&D initiatives and build the foundational models that will power the future of enterprise.
In this pivotal role, you will bridge the gap between theoretical machine learning research and scalable, production-ready engineering. You will lead a world-class team of data scientists and engineers, defining the technical roadmap for our next-generation Large Language Models (LLMs) and multimodal systems.
Why Join Us?
- Work at the forefront of the AI revolution with cutting-edge technology.
- Competitive compensation package and equity options.
- Flexible remote-first culture with hubs in SF and New York.
Responsibilities
- Architect & Develop: Design and implement robust, scalable generative AI pipelines and LLM architectures from the ground up.
- Technical Leadership: Guide the engineering team through the full software development lifecycle, ensuring code quality, scalability, and best practices.
- Model Optimization: Focus on model inference optimization, quantization, and latency reduction to deploy models on edge devices and cloud environments.
- R&D Strategy: Conduct cutting-edge research to explore new architectures, including diffusion models and transformer evolutions.
- Collaboration: Partner with product managers and stakeholders to translate business requirements into technical specifications.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 7+ years of experience in machine learning, deep learning, or software engineering.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience building and deploying LLMs (e.g., GPT, LLaMA architectures).
- Infrastructure: Strong understanding of MLOps, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
- Problem Solving: Exceptional ability to solve complex algorithmic problems and optimize system performance under high load.