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 be instrumental in architecting scalable neural networks and deploying state-of-the-art generative models that empower enterprise clients worldwide.
We foster a culture of deep inquiry, radical transparency, and high-impact engineering. Join us and build the infrastructure of tomorrow, today.
Responsibilities
- Architect, train, and deploy high-performance large language models (LLMs) and transformer-based architectures.
- Collaborate with cross-functional teams to integrate generative AI features into our core product suite.
- Optimize inference pipelines for latency and cost-efficiency in cloud-native environments.
- Lead technical design sessions and mentor junior engineers in best practices for machine learning operations (MLOps).
- Conduct iterative experiments to improve model performance, fine-tuning accuracy, and ethical alignment.
- Stay at the forefront of AI research by contributing to open-source initiatives and internal white papers.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of production experience in machine learning, deep learning, or NLP.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong background in distributed computing and experience with CUDA optimization.
- Solid understanding of vector databases (e.g., Pinecone, Milvus) and retrieval-augmented generation (RAG).
- Proven track record of shipping complex AI-driven products in a fast-paced environment.
- Excellent communication skills with the ability to bridge the gap between research and commercial application.