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Senior AI Research Scientist (2026 Vision)

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

Job Description

We are pioneering the future of technology for the year 2026 and beyond. At Nexus Horizon Labs, we are building the foundational infrastructure for the next era of artificial intelligence. We are seeking a visionary Senior AI Research Scientist to lead our initiative in developing autonomous, self-improving machine learning systems.

In this role, you will not just implement existing models; you will architect the algorithms that define how machines understand and interact with the world. You will work in a fast-paced, collaborative environment alongside world-class engineers and data scientists.

Why join us?

  • Work on cutting-edge research that defines the industry standard for 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with access to top-tier research facilities.
  • Focus on ethical AI and sustainable technology practices.

Responsibilities

  • Lead the design and implementation of novel deep learning architectures and algorithms.
  • Conduct cutting-edge research in natural language processing, computer vision, or reinforcement learning.
  • Optimize model inference pipelines for scalability and real-time performance.
  • Collaborate with cross-functional teams to translate theoretical research into practical, production-grade applications.
  • Ensure all AI systems adhere to the highest standards of safety, bias mitigation, and interpretability.
  • Mentor junior researchers and contribute to the technical roadmap for the next generation of AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience in machine learning research and software engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer models, LLMs, and generative AI concepts.
  • Experience publishing at top-tier conferences (NeurIPS, ICML, ICLR, ACL).
  • Demonstrated ability to thrive in ambiguous, high-impact research environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Research NLP Computer Vision Reinforcement Learning

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