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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist - 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to lead our initiatives in Next-Generation Artificial Intelligence. As we prepare for the technological landscape of 2026, you will be at the helm of developing scalable, ethical, and groundbreaking AI models that will define the future of human-computer interaction.

At Nexus Future Labs, we don't just predict the future; we build it. You will work in a high-performance environment with top-tier talent, focusing on Large Language Models (LLMs), autonomous agents, and generative media.

Responsibilities

  • Architect Next-Gen Models: Design and implement cutting-edge AI architectures capable of outperforming current standards by 2026.
  • Lead R&D Strategy: Define the technical roadmap for AI research, identifying trends in quantum computing and neural interfaces.
  • Ethical AI Oversight: Ensure all AI systems adhere to strict ethical guidelines, bias mitigation, and safety protocols.
  • Collaborate with Cross-Functional Teams: Partner with product managers and engineers to translate complex research into deployable products.
  • Patent and Publication: Lead efforts in publishing high-impact research papers and filing patents for novel algorithms.
  • Mentorship: Foster a culture of innovation by mentoring junior data scientists and researchers.

Qualifications

  • Education: PhD or Master's degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and C++.
  • Experience: 5+ years of experience in AI research, machine learning engineering, or a related role.
  • Strategic Thinking: Demonstrated ability to think 3-5 years ahead (futurist mindset).
  • Communication: Exceptional ability to present complex technical concepts to non-technical stakeholders.
  • Domain Knowledge: Familiarity with Generative Adversarial Networks (GANs) and Transformer models.

Required Skills

Python Machine Learning Artificial Intelligence Deep Learning PyTorch TensorFlow NLP Strategy Research

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