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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist: 2026 Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 210.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Nexus Future Labs is seeking a visionary Senior AI Research Scientist to spearhead our proprietary technology stack designed for the 2026 era. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems.

We are not just building for today; we are architecting the infrastructure for tomorrow. You will work on projects involving autonomous agents, quantum-resistant cryptography integration, and next-generation neural networks that redefine human-machine interaction.

If you are passionate about pushing the boundaries of what is possible and want to define the AI landscape of the near future, we want to hear from you.

Responsibilities

  • Define and execute the 2026 AI Technology Roadmap in alignment with executive leadership.
  • Research and prototype novel algorithms capable of processing multi-modal data streams in real-time.
  • Mentor a team of junior data scientists and engineers to foster a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Evaluate emerging hardware accelerators (e.g., neuromorphic chips) for deployment readiness.
  • Ensure all research adheres to strict ethical guidelines and safety standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 7 years of experience in machine learning research and development.
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and large language model architectures.
  • Strong understanding of ethical AI principles and bias mitigation strategies.
  • Excellent communication skills for translating complex technical concepts to non-technical stakeholders.
  • Experience with cloud infrastructure (AWS, GCP) is highly preferred.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) Machine Learning Deep Learning Research SQL Cloud Computing Neural Networks

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