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Senior AI Research Scientist: 2026 Vision

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the landscape of tomorrow? OmniFuture Technologies is seeking a visionary Senior AI Research Scientist to lead our 2026 roadmap initiatives. We are building the infrastructure for the next decade, focusing on next-generation neural architectures, quantum-assisted machine learning, and autonomous systems. If you have a passion for pushing the boundaries of what is possible in AI, this is your opportunity to make a lasting impact.

Our mission is to bridge the gap between theoretical breakthroughs and real-world applications that enhance human potential. As part of our elite R&D team, you will collaborate with world-class engineers, data scientists, and futurists to solve complex problems that define the era of 2026.

Responsibilities

  • Architect and develop next-generation artificial intelligence models, focusing on scalability and efficiency for future workloads.
  • Lead the research and implementation of novel algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams to integrate cutting-edge AI solutions into production environments.
  • Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
  • Conduct rigorous experiments and publish findings in top-tier peer-reviewed conferences and journals.
  • Identify emerging trends in the AI landscape and adapt our research strategies accordingly.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Minimum of 5+ years of experience in research, development, and deployment of AI systems.
  • Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Proven track record of publishing research papers in reputable conferences (e.g., NeurIPS, ICML, ICLR).
  • Deep understanding of mathematical foundations including linear algebra, calculus, and probability theory.
  • Experience with distributed computing systems and cloud infrastructure (AWS, GCP, or Azure).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Distributed Systems Cloud Computing Research

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