Job Description
We are Nexus Future Labs, a pioneering technology firm dedicated to architecting the intelligence of tomorrow. We are seeking a visionary Senior AI Research Scientist to join our elite team in San Francisco and lead the charge toward the 2026 technological frontier.
In this role, you will not just apply existing models; you will invent the next generation of Generative AI and Autonomous Systems. You will work on high-impact projects that define the landscape of artificial intelligence for the coming decade. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build the future, we want to hear from you.
Why Join Us?
- Work on cutting-edge research that shapes the future of technology.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options.
- Access to state-of-the-art computing infrastructure.
Responsibilities
- Lead the research and development of novel deep learning architectures, focusing on scalability and efficiency for 2026-era workloads.
- Design and implement large-scale machine learning pipelines, including data ingestion, training, and inference optimization.
- Collaborate with cross-functional engineering teams to integrate AI models into production environments.
- Publish high-impact research papers and contribute to the open-source community.
- Mentor junior data scientists and researchers, fostering a culture of innovation and continuous learning.
- Evaluate and implement emerging technologies to stay ahead of industry trends.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of experience in AI/ML research or applied engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Experience with distributed computing systems (e.g., Kubernetes, Apache Spark).
- Demonstrated ability to translate complex research concepts into practical engineering solutions.