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Senior AI Research Scientist - Generative Models | 2026 Vision

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

Job Description

Are you ready to define the future of Artificial Intelligence? Nexus Horizon is seeking a visionary Senior AI Research Scientist to spearhead our next-generation Generative AI initiatives. We are building the infrastructure for the year 2026 and beyond, and we need a technical mastermind to lead our research division.

In this pivotal role, you will architect large-scale transformer models, pushing the boundaries of Natural Language Processing (NLP) and Deep Learning. If you thrive in a fast-paced, high-performance environment and are passionate about solving the world's most complex problems, this is your opportunity to shape the trajectory of human-computer interaction.

Why Join Us?
• Work with cutting-edge hardware and cloud infrastructure.
• Competitive compensation and equity packages.
• Collaborate with world-renowned experts in the field.

Responsibilities

  • Design and implement state-of-the-art deep learning architectures for large language models.
  • Lead research initiatives focused on few-shot learning and reinforcement learning from human feedback (RLHF).
  • Collaborate closely with engineering teams to translate theoretical models into scalable, production-ready software.
  • Optimize model inference speed and memory efficiency on massive GPU clusters.
  • Publish groundbreaking research findings in top-tier AI conferences (NeurIPS, ICML, ACL).

Qualifications

  • Ph.D. or M.S. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • 5+ years of professional experience in AI/ML research, preferably at a top-tier tech company or research lab.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong mathematical background in linear algebra, calculus, and probability theory.
  • Proven track record of publishing peer-reviewed papers in AI/ML journals.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning CUDA Research Stanford MIT Berkeley

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