Job Description
Shape the Trajectory of Intelligence.
Join Nexus Future Labs as a Senior AI Research Scientist and help define the technological landscape leading up to 2026. We are at the forefront of Artificial General Intelligence (AGI) research, developing scalable architectures and ethical frameworks for the next generation of autonomous systems. If you are passionate about solving the hardest problems in machine learning and want to build systems that understand the world as we do, we want to hear from you.
Why Nexus Future Labs?
- Work on cutting-edge Long-Short Term Memory (LSTM) and Transformer architectures.
- Collaborate with a world-class team of PhDs and industry veterans.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Our Mission:
Our goal is to achieve Artificial General Intelligence by 2026. We believe that by combining rigorous academic research with practical engineering, we can build systems that are not only smart but safe, transparent, and beneficial for humanity.
Responsibilities
- Lead the research and development of novel deep learning models, focusing on NLP, Computer Vision, and Reinforcement Learning.
- Design and implement scalable algorithms capable of processing petabytes of data in real-time.
- Conduct rigorous experimentation to validate hypotheses and publish findings in top-tier academic conferences (NeurIPS, ICML, ICLR).
- Collaborate closely with the engineering team to translate research breakthroughs into production-ready APIs and products.
- Mentor junior researchers and provide technical guidance on research methodologies and data analysis.
- Stay abreast of the latest developments in the AI field and identify potential applications for Nexus Future Labs.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Minimum of 5 years of experience in research roles within top-tier tech companies or academic institutions.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of statistical learning theory and optimization algorithms.
- Proven track record of publishing high-impact research papers.
- Demonstrated ability to work in a fast-paced, agile environment and manage multiple projects simultaneously.
- Excellent communication skills, both written and verbal, for technical documentation and stakeholder presentations.