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Senior AI Research Scientist (2026 Vision)

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

Job Description

Are you ready to define the future of intelligent systems? Nebula Nexus Labs is seeking a visionary Senior AI Research Scientist to lead our cutting-edge initiatives for 2026 and beyond.

We are not just building software; we are architecting the cognitive architecture of tomorrow. In this role, you will pioneer breakthroughs in Generative AI, Large Language Models (LLMs), and autonomous decision-making systems.

Join a team of world-class engineers and researchers dedicated to pushing the boundaries of what is possible. If you thrive in an environment of rapid innovation and want to leave a lasting impact on the tech landscape, we want to hear from you.

Responsibilities

  • Lead the end-to-end research and development of next-generation AI algorithms and machine learning models.
  • Define the technical roadmap for AI capabilities, ensuring alignment with our 2026 strategic vision.
  • Collaborate with cross-functional engineering teams to translate theoretical research into scalable production systems.
  • Author high-impact academic papers and patents to establish thought leadership in the industry.
  • Mentor junior researchers and data scientists, fostering a culture of technical excellence and curiosity.
  • Optimize model performance for latency, accuracy, and resource efficiency in real-world environments.

Qualifications

  • Ph.D. or M.S. in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
  • Minimum of 5+ years of experience in research, development, or applied machine learning roles.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep experience with LLMs, NLP, or Computer Vision architectures (Transformers, GANs, etc.).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).
  • Strong problem-solving skills and the ability to navigate ambiguity in fast-paced environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AI Research Transformer Architecture Data Science Research Engineering

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