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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist - 2026 Vision

NeuroFuture Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are building the intelligence layer for the 2026 enterprise. At NeuroFuture Labs, we don't just predict the future of technology; we engineer it. We are seeking a visionary Senior AI Research Scientist to lead our next-generation generative AI initiatives.

In this role, you will bridge the gap between theoretical breakthroughs and scalable production models. You will be at the forefront of developing Agentic AI systems that autonomously solve complex problems. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and multimodal architectures, this is your opportunity to define the roadmap for 2026.

Why Join Us?

  • Work on cutting-edge AI research that impacts millions.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with access to world-class labs in SF.

Responsibilities

  • Lead the research and development of proprietary AI models focused on next-generation reasoning and generation capabilities.
  • Design and implement novel architectures for Large Language Models and Multimodal systems.
  • Collaborate with cross-functional engineering and product teams to translate research into production-ready APIs.
  • Conduct rigorous experimentation to optimize model performance, latency, and accuracy.
  • Author and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, etc.).
  • Mentor junior researchers and PhD students to foster a culture of innovation.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in machine learning research, specifically in NLP and deep learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing at or contributing to top-tier conferences.
  • Strong understanding of transformer architectures and attention mechanisms.
  • Experience with distributed training systems and cloud infrastructure (AWS/GCP).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Large Language Models Transformer Architecture Research

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