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Senior AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Nexus Future Labs is at the forefront of defining the technological landscape of 2026. We are seeking a visionary Senior AI Research Scientist to spearhead our next-generation Artificial General Intelligence (AGI) initiatives. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable real-world applications.

Our mission is to engineer the cognitive architectures that will power autonomous systems in the coming decade. You will work in a high-performance environment alongside world-class engineers and data scientists to push the boundaries of deep learning, natural language processing, and reinforcement learning.

Responsibilities

  • Lead the design and implementation of cutting-edge research in transformer architectures and generative models.
  • Develop novel algorithms to improve model efficiency, accuracy, and safety for 2026 deployment targets.
  • Collaborate with cross-functional teams to translate research findings into production-grade AI infrastructure.
  • Conduct rigorous experimentation and statistical analysis to validate hypotheses and drive model performance.
  • Author and present high-impact research papers at top-tier conferences such as NeurIPS, ICML, or ACL.
  • Mentor junior researchers and foster a culture of innovation, curiosity, and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 7+ years of professional experience in deep learning, machine learning, or artificial intelligence research.
  • Proven expertise in Python, PyTorch, and TensorFlow with a strong command of GPU acceleration techniques.
  • Deep understanding of linear algebra, probability theory, and optimization algorithms.
  • Experience with large-scale distributed training and high-performance computing clusters.
  • Track record of publishing in peer-reviewed venues and contributing to open-source projects.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Distributed Systems GPU Computing Statistical Modeling

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