Job Description
Are you ready to define the future of Artificial Intelligence? Neural Nexus Labs is seeking a visionary Senior AI Research Engineer to lead our next-generation generative model initiatives. We are building the infrastructure that powers tomorrow's intelligent applications, and we need a technical expert to push the boundaries of Large Language Models (LLMs) and multimodal AI.
In this role, you will collaborate with world-class researchers and engineers to design, train, and deploy state-of-the-art models. If you are passionate about deep learning, possess a strong mathematical background, and want to solve complex problems at scale, we want to meet you.
Why Join Us?
- Work with cutting-edge technology in a high-growth environment.
- Competitive compensation and equity package.
- Flexible remote-first culture with a central hub in San Francisco.
- Opportunity to publish in top-tier conferences (NeurIPS, ICML, ICLR).
Responsibilities
- Design and implement novel deep learning architectures for natural language processing and computer vision tasks.
- Optimize existing models for inference speed and memory efficiency on cloud-scale hardware.
- Conduct rigorous experimentation and hyperparameter tuning to improve model accuracy and robustness.
- Collaborate with product teams to translate research findings into production-ready features.
- Stay abreast of the latest academic literature and industry trends to integrate best practices into our pipeline.
- Mentor junior researchers and engineers, fostering a culture of continuous learning and innovation.
Qualifications
- Ph.D. or Master's degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Proven experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong proficiency in Python and C++ for high-performance computing.
- Deep understanding of transformer architectures, attention mechanisms, and optimization techniques.
- Experience with distributed training and model serving platforms (e.g., Kubernetes, Ray, SageMaker).
- Track record of publishing research in reputable conferences or patents in AI/ML.