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Senior AI Research Scientist (2026 Horizon)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

We are on the cusp of a technological revolution. Nexus Future Labs is seeking a visionary AI Research Scientist to pioneer the next generation of artificial intelligence. If you are passionate about shaping the landscape of 2026 and beyond, this is your opportunity to lead high-impact research that defines the future of human-computer interaction.

In this role, you will bridge the gap between theoretical research and practical application, working on projects that push the boundaries of what is possible. We offer a dynamic environment where innovation is not just encouraged but required. Join us to build the intelligence systems of tomorrow.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Competitive equity package and flexible remote-first policy.
  • Access to state-of-the-art computational infrastructure.
  • Collaborate with world-class engineers and scientists.

Responsibilities

  • Design, develop, and optimize novel deep learning architectures for the 2026 Horizon initiative.
  • Lead research projects focused on Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional engineering teams to translate research into scalable production models.
  • Conduct rigorous experimentation and analysis to improve model accuracy and efficiency.
  • Publish high-impact research papers and contribute to the open-source community.
  • Mentor junior researchers and PhD candidates in advanced machine learning techniques.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Proven experience in deep learning, specifically with frameworks like PyTorch or TensorFlow.
  • Strong proficiency in Python and C++.
  • Deep understanding of statistical learning, optimization theory, and neural networks.
  • Excellent communication skills with the ability to present complex technical concepts to diverse audiences.
  • Experience with cloud platforms (AWS, GCP) and MLOps pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision MLOps C++ CUDA Research

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