Job Description
Are you ready to shape the future of machine intelligence? NexusMind is seeking a visionary Senior AI Engineer to join our core research and development team in San Francisco. We build cutting-edge generative models that solve complex enterprise challenges. You will work alongside world-class researchers to bridge the gap between theoretical AI and production-grade applications.
We offer a collaborative, high-impact environment where innovation is the standard. If you are passionate about LLMs, neural architecture, and scaling intelligent systems, this is your home.
Responsibilities
- Architect and deploy scalable deep learning models in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into existing product suites.
- Optimize neural network performance, latency, and memory usage for distributed computing.
- Lead technical initiatives in natural language processing and transformer-based architectures.
- Mentor junior engineers and promote rigorous software engineering best practices.
- Conduct cutting-edge research to solve novel problems in model fine-tuning and alignment.
- Manage data pipelines and infrastructure for large-scale training workflows.
Qualifications
- M.S. or Ph.D. in Computer Science, AI, Machine Learning, or related quantitative field.
- 5+ years of professional experience in deep learning, MLOps, or software engineering.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Proven track record of deploying AI models in cloud-native environments (AWS/GCP).
- Strong understanding of transformer models, LLMs, and reinforcement learning.
- Solid foundation in software architecture, distributed systems, and CI/CD pipelines.
- Excellent communication skills with the ability to convey complex concepts to stakeholders.