Job Description
Are you ready to shape the future of machine intelligence? NexusMind AI is seeking a visionary Senior AI Engineer to join our core research and development team. You will work on cutting-edge generative models, optimizing LLM architectures for high-scale enterprise applications in our state-of-the-art San Francisco headquarters.
We foster a culture of radical transparency, rapid prototyping, and academic-grade rigor. If you are passionate about pushing the boundaries of neural networks and large-scale data systems, we want to hear from you.
Responsibilities
- Design, architect, and implement scalable generative AI models and neural network architectures.
- Collaborate with cross-functional teams to integrate AI capabilities into production-grade software ecosystems.
- Conduct advanced research into model optimization, latency reduction, and fine-tuning methodologies.
- Establish best practices for MLOps, CI/CD pipelines, and automated model testing frameworks.
- Mentor junior machine learning engineers and contribute to our internal AI research documentation.
- Evaluate emerging AI technologies and frameworks to maintain our competitive edge in the market.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of experience in deep learning, natural language processing, or computer vision.
- Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Solid understanding of transformer architectures and large-scale distributed training.
- Experience with cloud infrastructure (AWS/GCP) and containerization tools like Docker and Kubernetes.
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR) is highly preferred.