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Senior AI Research Engineer - 2026 Vision

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Horizon AI is on a mission to engineer the breakthroughs that will define the 2026 era of computing. We are looking for a visionary Senior AI Research Engineer to lead our core generative modeling team.

In this role, you won't just implement existing models; you will architect the architectures of tomorrow. You will work at the intersection of cutting-edge deep learning, strategic foresight, and scalable infrastructure to ensure our solutions remain at the forefront of the industry.

Why Join Us?

  • Work with state-of-the-art hardware and open-source frameworks.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with premium office amenities in SF.

Join us in building the intelligence that powers the world.

Responsibilities

  • Define and execute the long-term 2026 AI Strategy, identifying key research gaps and technological trends.
  • Design and implement novel neural network architectures for large-scale generative tasks.
  • Lead a team of research scientists and engineers in high-impact projects, providing mentorship and technical guidance.
  • Optimize model inference and training pipelines to achieve industry-leading performance metrics.
  • Collaborate closely with product and engineering teams to translate research breakthroughs into scalable products.
  • Publish high-impact research papers and contribute to the open-source community.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in research engineering, machine learning, or deep learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing at top-tier conferences (NeurIPS, ICML, ACL) or shipping industry-defining AI products.
  • Deep understanding of Natural Language Processing (NLP) or Computer Vision fundamentals.
  • Experience with distributed training systems and cloud infrastructure (AWS, GCP).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Systems AWS GCP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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