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, scalable neural network architectures, and real-time inference systems that power the next generation of enterprise applications.
We offer a highly collaborative environment, top-tier compensation, and the opportunity to solve complex engineering challenges that impact millions of users globally.
Responsibilities
- Design and deploy scalable machine learning models using PyTorch or TensorFlow.
- Optimize neural network architectures for low-latency inference in production environments.
- Collaborate with data scientists to transition research prototypes into robust, production-grade microservices.
- Implement and maintain CI/CD pipelines optimized for MLOps workflows.
- Conduct cutting-edge R&D into Large Language Models (LLMs) and transformer-based architectures.
- Mentor junior engineers and promote best practices in clean, efficient, and well-documented code.
- Participate in architectural reviews and contribute to the long-term technical roadmap.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, NLP, or computer vision.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch preferred).
- Strong understanding of distributed computing and experience with cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying AI/ML models into high-traffic production systems.
- Expertise in performance profiling, optimization, and system scalability.
- Excellent communication skills with the ability to bridge the gap between research and engineering.