Job Description
We are at the precipice of a technological revolution, and we are looking for visionary minds to help us define the landscape of 2026. Nexus Future Labs is seeking a Senior AI Research Scientist to lead our forward-thinking initiatives. In this role, you won't just build models; you will architect the future of our company's intelligence infrastructure.
Our mission is to bridge the gap between current capabilities and the extraordinary potential of 2026. You will work in a dynamic environment that values creativity, precision, and impact. If you are passionate about the future and possess the technical prowess to make it happen, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the next generation of technology.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a premium office in the heart of SF.
- Continuous learning budget and access to top-tier research resources.
Responsibilities
- Lead Strategic Research: Define and execute the research roadmap for 2026, focusing on scalable machine learning and predictive analytics.
- Model Development: Design, train, and deploy advanced deep learning models to solve complex, real-world business problems.
- Team Leadership: Mentor junior data scientists and researchers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate research findings into production-ready applications.
- Publish & Present: Contribute to the scientific community by publishing papers and presenting at top-tier conferences.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- Experience: Minimum of 5 years of experience in AI/ML research or applied machine learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Domain Knowledge: Strong background in Natural Language Processing (NLP) or Computer Vision.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.