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Senior AI Research Engineer - 2026 Vision

Nexus Horizon AI
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027



Job Description

We are seeking a visionary Senior AI Research Engineer to lead our R&D division focused on the future of artificial intelligence. As we prepare for the 2026 landscape, you will be at the forefront of developing next-generation Large Language Models (LLMs) and autonomous agents that redefine human-machine interaction.


This is a rare opportunity to shape the technology that will define the next decade of innovation. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.

Responsibilities

  • Design and implement cutting-edge neural network architectures and algorithms.
  • Conduct rigorous research to improve model efficiency, accuracy, and scalability.
  • Lead the end-to-end lifecycle of research projects from hypothesis formulation to production deployment.
  • Collaborate with cross-functional engineering teams to integrate advanced research findings into scalable consumer products.
  • Publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR).
  • Mentor junior researchers and data scientists, fostering a culture of innovation.
  • Evaluate and select the latest open-source tools and frameworks for AI development.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of experience in machine learning research or applied AI.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP), Transformers, and Generative AI.
  • Proven track record of publishing research in peer-reviewed venues.
  • Experience with cloud infrastructure (AWS, GCP) and MLOps pipelines.
  • Excellent communication skills and the ability to present complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning Research Deep Learning AI Architecture MLOps

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