Job Description
Are you ready to define the next generation of Artificial Intelligence? Nexus Future Labs is seeking a visionary Senior AI Research Scientist to lead our cutting-edge Generative AI initiatives. If you are passionate about Large Language Models (LLMs), Neural Architecture Search, and building intelligent systems that solve complex real-world problems, we want to meet you.
In this role, you will work at the intersection of research and production, transforming theoretical breakthroughs into scalable, deployable products. You will have the autonomy to explore novel architectures while mentoring a team of talented engineers and researchers.
Why Join Us?
- Impactful Work: Build AI solutions that millions of users will interact with daily.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
- Flexible Environment: Remote-first culture with optional co-working spaces in SF.
Responsibilities
- Conduct Advanced Research: Design and implement novel deep learning architectures, focusing on Transformers, Diffusion Models, and Reinforcement Learning.
- Model Optimization: Optimize model inference latency and throughput for edge and cloud deployment.
- Collaborate Across Teams: Partner with Product Managers and Engineers to translate research findings into production-ready features.
- Publish & Patent: Lead efforts to publish peer-reviewed papers in top-tier conferences (NeurIPS, ICML, ICLR) and secure patents for proprietary algorithms.
- Mentorship: Guide junior researchers and engineers, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field (with significant research experience).
- Experience: 5+ years of experience in AI/ML research or applied machine learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Research Track Record: Demonstrated history of publishing in reputable AI conferences or delivering significant impact in open-source communities.
- Problem Solving: Strong ability to troubleshoot complex mathematical and computational challenges.