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Senior AI Research Scientist - 2026 Horizon Initiative

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

Job Description

Are you ready to engineer the future? Nexus Horizon is seeking a visionary Senior AI Research Scientist to spearhead our 2026 Horizon Initiative. In this pivotal role, you will define the architectural paradigms for next-generation artificial intelligence systems, pushing the boundaries of generative models and autonomous decision-making.

We are looking for a thought leader who isn't just keeping up with the industry trends of today, but is actively shaping the landscape of tomorrow. You will work in a state-of-the-art facility in the heart of San Francisco, collaborating with a diverse team of quantum computing experts, data scientists, and UX designers.

Why Nexus Horizon?

  • Work on cutting-edge projects that will define the technological era of 2026.
  • Competitive compensation package and equity options.
  • Flexible remote-first hybrid work environment.
  • Access to the latest hardware for high-performance computing.

Responsibilities

  • Design, develop, and deploy scalable deep learning architectures for autonomous agents and generative AI systems.
  • Conduct rigorous research to improve model accuracy, efficiency, and interpretability.
  • Lead cross-functional projects to translate theoretical research into production-ready software.
  • Mentor junior researchers and PhD candidates in advanced machine learning techniques.
  • Stay abreast of global AI trends and propose innovative solutions for complex business challenges.
  • Optimize existing algorithms to run efficiently on edge devices and cloud infrastructure.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML research and development.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Experience with cloud platforms (AWS, GCP, Azure) and big data technologies.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP Reinforcement Learning Cloud Computing Data Structures Algorithms

Ready to Take This Challenge?

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