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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist (2026 Visionary)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the precipice of a new era in technology, and we are seeking a Senior AI Research Scientist to help define the landscape of 2026. At Nexus Horizon Solutions, we don't just predict the future; we engineer it. You will be at the forefront of Generative AI, working on projects that will revolutionize how humans interact with machines.

If you are a visionary ready to tackle the most complex challenges in artificial intelligence and shape the roadmap for our next decade, we want to hear from you. Join a team of elite engineers and data scientists committed to pushing the boundaries of what's possible.

Responsibilities

  • Lead the research and development of advanced AI models targeting the 2026 roadmap.
  • Design and implement scalable machine learning infrastructure to support production-grade applications.
  • Collaborate with cross-functional teams to integrate cutting-edge AI solutions into core products.
  • Ensure ethical AI practices and rigorous bias mitigation in all models and datasets.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.
  • Publish research findings and contribute to the academic community.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in machine learning, deep learning, or natural language processing.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR, etc.).
  • Strong understanding of Large Language Models (LLMs), transformers, and generative architectures.
  • Experience with MLOps and deploying models to cloud environments (AWS/GCP).

Required Skills

Python PyTorch TensorFlow LLMs Generative AI Machine Learning Deep Learning MLOps Ethics in AI

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