Job Description
Are you ready to shape the future of machine intelligence? At NeuralEdge Dynamics, we are building autonomous systems that redefine human-computer interaction. We are looking for an elite AI Engineer to join our core research and development team in San Francisco.
You will work on cutting-edge generative models, scalable training pipelines, and real-world deployment of production-grade neural networks. If you are passionate about pushing the boundaries of what is possible, we want to hear from you.
Responsibilities
- Architect and implement scalable deep learning models in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into existing flagship products.
- Design and maintain high-performance data pipelines for large-scale training.
- Stay at the forefront of AI research by exploring new papers and implementing innovative techniques.
- Optimize model inference latency and throughput for cloud-based architectures.
- Lead code reviews and establish engineering best practices for the machine learning lifecycle.
- Mentor junior developers and contribute to the overall technical culture of the engineering department.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of professional experience in deep learning, computer vision, or NLP.
- Advanced proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Deep understanding of transformer architectures and large language model optimization.
- Solid experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
- Strong background in distributed computing and GPU-accelerated model training.
- Exceptional problem-solving skills and a track record of shipping production-level AI solutions.