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Senior AI Researcher (2026 Horizon) | San Francisco

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond?

Nexus AI Labs is seeking a visionary Senior AI Researcher to pioneer the next generation of autonomous systems and generative intelligence. We are not just building software; we are architecting the future of human-machine interaction.

You will work at the cutting edge of Deep Learning, Cognitive Science, and emerging Quantum Algorithms to solve problems that currently seem impossible. If you are driven by innovation and possess a deep understanding of neural architectures, we want to hear from you.

Why Nexus AI Labs?

  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation and equity packages.
  • Remote-first culture with a high-touch collaborative environment.
  • Focus on ethical AI and long-term impact.

Responsibilities

  • Design and implement scalable neural network architectures optimized for 2026 standards, including LLMs and multimodal models.
  • Lead research initiatives in Generative AI and reinforcement learning to push the boundaries of AI capability.
  • Collaborate with cross-functional engineering teams to deploy ethical, responsible, and high-performance AI solutions.
  • Publish groundbreaking findings in top-tier academic conferences and technical journals.
  • Define technical roadmaps for AI product evolution and mentor junior researchers.
  • Conduct rigorous experimentation and data analysis to validate new algorithms.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Proven experience with Python, PyTorch, or TensorFlow, including building production-grade models.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Predictive Analytics.
  • Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model serving.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
  • Experience in leading research teams or technical projects.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps AWS Cloud Computing Leadership Research

Ready to Take This Challenge?

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