Job Description
We are seeking a visionary Senior AI Engineer to join our elite R&D team at Nexus Future Labs. As we pioneer the next generation of Generative AI, you will play a pivotal role in architecting robust, scalable, and ethically responsible machine learning systems. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Computer Vision, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in Austin.
- Access to top-tier compute resources and the latest research.
Ready to shape the future? Apply today.
Responsibilities
- Design, train, and deploy state-of-the-art generative models (LLMs, Diffusion, etc.) using PyTorch and TensorFlow.
- Optimize model performance for speed and accuracy in high-volume production environments.
- Collaborate with cross-functional teams (Product, Design, Engineering) to translate business requirements into technical AI solutions.
- Conduct research on novel architectures and algorithms to stay ahead of the curve.
- Implement MLOps pipelines to ensure scalable and reliable model deployment.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Deep understanding of NLP, Transformers, and Generative Adversarial Networks (GANs).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).