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Senior AI Researcher | Horizon 2026 Initiative | San Francisco, CA

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Researcher to spearhead our Horizon 2026 initiative. As we look toward the future of technology, we need a leader who is passionate about pushing the boundaries of artificial intelligence. This role is pivotal in defining the research strategy that will shape the industry landscape by 2026.

At Nexus Horizons, we combine academic rigor with commercial scalability. You will work in a high-performance environment where innovation is encouraged, and your work will directly impact millions of users worldwide.

What You Will Do:

  • Lead the development of next-generation AI models and architectures.
  • Drive the Horizon 2026 roadmap, ensuring our research aligns with future industry trends.
  • Collaborate with world-class engineers to translate theoretical research into production-ready products.
  • Publish high-impact research papers and present at leading global conferences.
  • Mentor and guide a team of junior researchers and data scientists.

Responsibilities

  • Design and implement novel algorithms for deep learning and natural language processing.
  • Conduct rigorous experimentation and analysis to improve model performance and efficiency.
  • Identify emerging opportunities in AI and integrate them into the Horizon 2026 strategic plan.
  • Work closely with product management to ensure research outcomes deliver tangible value.
  • Stay abreast of the latest academic literature and technological advancements.
  • Manage research budgets and resources effectively.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5 years of experience in AI research or a related role.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong background in deep learning, large language models, or reinforcement learning.
  • Demonstrated ability to publish research in top-tier venues (e.g., NeurIPS, ICML, ACL).
  • Excellent problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Research Distributed Systems Leadership

Ready to Take This Challenge?

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