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Senior AI Research Scientist - Project 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on the cusp of a technological revolution, and Project 2026 is our commitment to defining the future of autonomous systems. Nexus Horizon Labs is seeking a visionary Senior AI Research Scientist to lead the architecture of our next-generation generative intelligence models. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and multimodal learning, this is your opportunity to shape the infrastructure of tomorrow.

Why Nexus Horizon?

Join a team of world-class engineers and researchers dedicated to ethical, scalable, and breakthrough AI solutions. You will work in a high-performance environment that values innovation over convention.

Responsibilities

  • Lead the architectural design and training of proprietary AI models for the Project 2026 ecosystem.
  • Research and implement novel algorithms to enhance model efficiency, accuracy, and safety.
  • Collaborate with product engineering teams to deploy research findings into production environments.
  • Conduct rigorous experimentation and validation to improve inference speeds and reduce computational costs.
  • Mentor junior researchers and foster a culture of continuous learning and technical excellence.
  • Stay abreast of the latest global advancements in AI, including Transformer architectures and reinforcement learning.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience in research and development within AI/ML, preferably at a leading tech firm or academic institution.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Extensive knowledge of distributed computing and high-performance computing (HPC) clusters.
  • Strong background in Natural Language Processing (NLP) and Deep Learning theory.
  • Proven ability to publish research in top-tier conferences (NeurIPS, ICML, ACL) or open-source contributions.

Required Skills

Python PyTorch TensorFlow Natural Language Processing Machine Learning Distributed Computing CUDA Deep Learning Reinforcement Learning Transformer Models

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