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Senior AI Research Scientist - Generative Models

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to pioneer the next era of Artificial Intelligence. Nexus Future Systems is seeking a visionary Senior AI Research Scientist to lead our advanced generative model initiatives. You will be at the forefront of developing Large Language Models (LLMs) and multimodal AI systems that redefine human-machine interaction.

In this role, you will collaborate with a world-class team of engineers, data scientists, and ethicists to build safe, scalable, and transformative AI solutions.

Responsibilities

  • Lead the research and development of state-of-the-art generative AI models and architectures.
  • Design and optimize large-scale neural network training pipelines for high-performance inference.
  • Conduct rigorous experimentation to improve model accuracy, efficiency, and robustness.
  • Write and publish high-impact research papers to contribute to the global AI community.
  • Collaborate with product teams to translate complex research into practical, user-centric applications.
  • Ensure AI systems adhere to ethical guidelines, fairness, and transparency standards.
  • Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Minimum of 5+ years of professional experience in Machine Learning and Deep Learning.
  • Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong proficiency in Python and C++.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR, ACL).
  • Deep understanding of Natural Language Processing (NLP) and Transformer architectures.
  • Experience with distributed training and high-performance computing (HPC) clusters.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Natural Language Processing Research Distributed Systems C++

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