Job Description
About Us: Nexus Future Systems is at the forefront of the AI revolution. We are building the foundational models that will define the landscape of 2026 and beyond. We are seeking a visionary Senior AI Engineer to join our elite research team in San Francisco.
The Role: You will be responsible for architecting and deploying next-generation Large Language Models (LLMs) and generative AI systems. If you are passionate about pushing the boundaries of what is possible in machine learning and want to leave a mark on the future of technology, this is the opportunity for you.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models for NLP and multimodal tasks.
- Infrastructure Optimization: Build scalable MLOps pipelines to handle massive datasets and ensure low-latency inference.
- Research & Innovation: Stay ahead of emerging trends in AI research to integrate cutting-edge techniques into our production stack.
- Collaboration: Partner with product managers and engineering teams to translate research into tangible, user-facing features.
- Code Review: Maintain high standards of code quality and mentor junior engineers on best practices.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning and deep learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
- LLM Knowledge: Deep understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
- Deployment: Experience deploying models via Docker, Kubernetes, and cloud services (AWS/GCP/Azure).