Job Description
Are you ready to shape the future of machine intelligence? NexusMind AI Systems is seeking a visionary Senior AI Engineer to join our core research and development team in San Francisco. We build cutting-edge generative models and autonomous agent frameworks that solve real-world industry challenges.
As a key member of our engineering team, you will work at the intersection of deep learning research and production-grade software engineering, ensuring our models are performant, scalable, and ethically aligned.
Responsibilities
- Architect and train large-scale transformer models and neural networks.
- Collaborate with research scientists to deploy novel algorithms into production environments.
- Optimize inference pipelines for ultra-low latency and high-throughput performance.
- Develop robust data pipelines for large-scale training dataset acquisition and cleaning.
- Mentor junior engineers and champion best practices in ML engineering and code quality.
- Conduct rigorous performance analysis and model evaluation to ensure accuracy and bias mitigation.
- Stay at the forefront of AI innovation by contributing to open-source initiatives and whitepapers.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning and machine learning systems.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or JAX.
- Strong background in distributed training, model parallelism, and hardware optimization (CUDA/TPU).
- Experience with cloud platforms like AWS, GCP, or Azure for large-scale model deployment.
- Solid understanding of LLM architectures, fine-tuning techniques, and RAG frameworks.
- Proven ability to solve complex, ambiguous technical problems in a high-growth startup environment.