Job Description
Are you ready to architect the future of autonomous intelligence? NexusMind AI is seeking a visionary Senior AI Engineer to join our core research and development team in the heart of San Francisco. In this role, you will bridge the gap between cutting-edge research and scalable production applications, pushing the boundaries of what is possible with large-scale machine learning models.
We offer a collaborative, high-impact environment where your contributions will directly influence the development of our flagship predictive analytics platform.
Responsibilities
- Design, develop, and deploy scalable machine learning architectures using PyTorch and TensorFlow.
- Optimize neural network performance for high-throughput, real-time data environments.
- Collaborate with data scientists to transition experimental models into robust production-grade systems.
- Implement MLOps best practices, including automated model retraining and continuous integration pipelines.
- Conduct deep-dive analysis into model interpretability and ethics to ensure unbiased AI performance.
- Mentor junior engineering staff and contribute to technical documentation and internal design reviews.
- Stay at the forefront of AI research by evaluating emerging technologies and methodologies for internal adoption.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative discipline.
- 5+ years of professional experience in deep learning, NLP, or computer vision.
- Expert proficiency in Python and C++ with deep experience in GPU-accelerated computing.
- Proven track record of deploying large-scale AI systems into production environments.
- Solid understanding of cloud infrastructure (AWS or GCP) and container orchestration using Kubernetes.
- Strong background in distributed training techniques and model optimization (pruning, quantization).
- Excellent problem-solving skills and the ability to articulate complex technical concepts to non-technical stakeholders.