Job Description
Are you ready to redefine the boundaries of machine intelligence? NexusMind AI is seeking a visionary Senior AI Research Engineer to join our core architecture team. You will work at the bleeding edge of generative models, multi-modal learning, and autonomous reasoning to solve the world's most complex computational challenges.
We provide a collaborative, high-impact environment where your research translates directly into products serving millions of users. Join us in building the next generation of artificial intelligence.
Responsibilities
- Design, implement, and optimize large-scale machine learning models using PyTorch or TensorFlow.
- Lead R&D initiatives to improve latency and accuracy in production-grade LLMs.
- Collaborate with cross-functional data science and infrastructure teams to deploy scalable AI pipelines.
- Conduct cutting-edge research in neural network architecture and transformer efficiency.
- Mentor junior engineers and promote a culture of technical excellence and peer review.
- Contribute to internal research papers and present findings at top-tier industry conferences.
- Monitor and fine-tune model performance metrics in real-world, high-traffic environments.
Qualifications
- Ph.D. or Master’s degree 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, JAX, or TensorFlow).
- Deep understanding of model architecture optimization, quantization, and distributed training techniques.
- Proven track record of deploying complex AI models into production systems.
- Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.
- Experience with cloud infrastructure (AWS/GCP) and containerization tools like Docker and Kubernetes.