Job Description
Are you ready to shape the future of Artificial Intelligence?
Nexus AI Labs is on the hunt for a visionary Senior AI Research Scientist to join our elite R&D division in San Francisco. We are building the next generation of Large Language Models (LLMs) and autonomous agents that will redefine human-machine interaction.
In this role, you will not just write code; you will push the boundaries of what is mathematically possible. You will collaborate with world-class engineers and product leaders to transform theoretical breakthroughs into scalable, real-world applications. If you are passionate about Deep Learning, Natural Language Processing, and have a track record of innovation, we want to hear from you.
Why Join Us?
- Competitive salary and equity package.
- Access to the latest hardware (NVIDIA H100 clusters).
- Flexible remote-first work culture.
- Continuous learning budget and conferences.
Responsibilities
- Model Architecture Design: Design, train, and fine-tune state-of-the-art deep learning models, specifically focusing on Transformers and diffusion models.
- Research Publication: Publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ACL) and contribute to open-source communities.
- Algorithm Optimization: Improve model inference speed and accuracy through innovative quantization and pruning techniques.
- Cross-Functional Collaboration: Work closely with ML engineers to deploy models into production environments, ensuring robustness and scalability.
- Mentorship: Guide junior researchers and data scientists, fostering a culture of technical excellence and innovation.
- Problem Solving: Tackle complex mathematical and computational challenges to solve real-world business problems.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with MLOps tools (Docker, Kubernetes, MLflow).
- Experience: 5+ years of experience in AI research or a related industry role, with a strong portfolio of published work.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Mathematical Maturity: Strong grasp of linear algebra, calculus, probability, and optimization theory.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.