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 in San Francisco. You will work on cutting-edge generative models, deep learning architectures, and scalable inference engines that define industry benchmarks.
We foster a culture of radical innovation, providing you with the computational power and data resources to solve complex, high-impact challenges. If you thrive at the intersection of mathematical theory and robust engineering, we want to hear from you.
Responsibilities
- Architect and deploy large-scale deep learning models for production environments.
- Collaborate with cross-functional teams to integrate generative AI capabilities into core product suites.
- Optimize model training pipelines and inference latency for high-throughput systems.
- Conduct cutting-edge research to advance our proprietary LLM and Computer Vision technologies.
- Implement MLOps best practices to ensure model observability, reliability, and continuous improvement.
- Mentor junior engineers and contribute to our internal AI research documentation.
- Lead technical design sessions for next-generation neural architecture search.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, machine learning, or data science.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Deep understanding of Transformers, Attention mechanisms, and LLM fine-tuning techniques.
- Proven track record of deploying scalable AI models in cloud environments (AWS/GCP).
- Strong background in distributed computing and GPU optimization techniques.
- Excellent communication skills with the ability to bridge the gap between abstract research and practical application.