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Senior AI Research Scientist - Future Tech

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

At Nexus Horizon Labs, we are not just predicting the future; we are architecting it. We are seeking a visionary Senior AI Research Scientist to lead our “2026 Initiative,” a bold project dedicated to developing the next generation of autonomous reasoning systems and cognitive architectures.

In this role, you will operate at the forefront of technological evolution, bridging the gap between theoretical machine learning breakthroughs and practical, scalable applications. You will define the roadmap for AI capabilities that will define the next decade of human-computer interaction.

Why Join Us?

  • Work on cutting-edge problems that define the future of AI.
  • Competitive compensation package with equity options.
  • Collaborative environment with industry leaders in Silicon Valley.

Responsibilities

  • Lead the design and implementation of novel deep learning architectures tailored for future-proof AI solutions.
  • Conduct high-level research in Natural Language Processing, Multimodal Learning, and Generative AI models.
  • Collaborate closely with engineering teams to transition theoretical research into scalable, production-grade environments.
  • Author and publish influential research papers in top-tier AI conferences (NeurIPS, ICML, ACL).
  • Mentor junior researchers and PhD students, fostering a culture of innovation and technical excellence.
  • Identify emerging trends in AI and integrate them into our product roadmap.

Qualifications

  • Ph.D. in Computer Science, Mathematics, or a related field (or equivalent industry experience with a strong publication record).
  • 5+ years of experience in research or applied machine learning roles at top-tier tech companies or research institutions.
  • Expert proficiency in Python, PyTorch, and modern deep learning frameworks.
  • Strong publication record in venues such as NeurIPS, ICML, ICLR, or ACL.
  • Proven ability to solve complex, unstructured problems with innovative algorithmic solutions.
  • Demonstrated experience in leading cross-functional projects.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Natural Language Processing Computer Vision AI Research Research Scientist Generative AI Neural Networks CUDA

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